A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
A Pedestrian Detection Method Based on the HOG-LBP Feature and Gentle AdaBoost
2012
International Journal of Advancements in Computing Technology
Preserved Fulltext
In this paper, we present a pedestrian detection method based on the combination of Histograms of Oriented Gradient (HOG) feature and uniform local binary pattern (LBP) feature, which can detect pedestrian ...
In order to compare the experimental results, Gentle AdaBoost is used to train the pedestrian classifier on the INRIA dataset. ...
on three different features
Figure 9 . 9 Some qualitative results of our algorithm
A Pedestrian Detection Method Based on the HOG-LBP Feature and Gentle AdaBoost Sheng Yang, Xianmei Liao, UK Borasy ...
doi:10.4156/ijact.vol4.issue19.66
fatcat:zdwmupuxazdzvhhvky6sbaxduy
Human Detection Using Color Contrast-Based Histograms of Oriented Gradients
2019
International Journal of Innovative Computing, Information and Control
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper, we propose a method for human detection using color contrastbased Histograms of Oriented Gradients (HOG). ...
We evaluate the proposed method using the following three types of classifiers in the INRIA and NICTA datasets: Real Adaboost, Support Vector Machine (SVM), and random forest. ...
In this paper, we propose a method for human detection using color contrast-based HOG. ...
doi:10.24507/ijicic.15.04.1211
fatcat:fhana47yvbe2xa665hpz3j5rse
Pedestrian Detection and Tracking Using HOG and Oriented-LBP Features
[chapter]
2011
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
A pedestrian detector, which is based on the non-overlap HOG feature and an Oriented LBP feature, is applied to find possible locations of humans. ...
In this work we introduce a pedestrian detection and tracking system to extract and track human objectives using an on board monocular camera. The system is composed of three stages. ...
Performance com
Comparison of SVM SVM and Adaboost are th various pedestrian detection using Haar wavelet, HOG, a As shown in Fig.2 (b outperforms Adaboost classi on and Tracking Using HOG and Oriented-LBP ...
doi:10.1007/978-3-642-24403-2_15
fatcat:ohvxtgwlnrgifh775cvugimmye
Superpixels in Pedestrian Detection from Stereo Images in Urban Traffic Scenarios
2016
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
A multi-feature superpixels-based method is used for obstacles segmentation and pedestrian hypotheses selection. ...
This paper proposes a novel method for superpixel-based pedestrian hypotheses generation and their validation through feature classification. ...
Figure 3 : 3 Superpixels-based pedestrian hypotheses (with random color for each obstacle). ...
doi:10.5220/0005680305010508
dblp:conf/visapp/GiosanN16
fatcat:xgmgn3fjkzdu3iqz2bz2p2arba
Fast pedestrian detection with multi-scale orientation features and two-stage classifiers
2010
2010 IEEE International Conference on Image Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper, we propose an approach for fast pedestrian detection in images. ...
A cascade of Adaboost is employed to train classifiers on the coarse features, aiming to high detection speed. ...
Two-stage classifiers for pedestrian detection When detecting pedestrians, an integral image is firstly calculated on which we calculate the coarse features and then use cascade of Adaboost classifier ...
doi:10.1109/icip.2010.5654080
dblp:conf/icip/YeJZ10
fatcat:klnvzaxgpfaobfglcnehahilbq
Human Detection by Boosting-Based Co-occurrence of HOG and Color Feature
1970
ECTI Transactions on Computer and Information Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper, we propose a method for human detection using co-occurrence of Histograms of Oriented Gradients (HOG) features and color features. ...
This method expresses the co-occurrence between HOG and color features by Adaboost and generates the combination of the features effective for the identification automatically. ...
CONCLUSION In this paper, we proposed a method for human detection using co-occurrence of Histograms of Oriented Gradients (HOG) features and color features. ...
doi:10.37936/ecti-cit.201152.54236
fatcat:7jjbllyk6zexbd6cw3v4au5tdy
Implementation of Pedestrian Detection and Tracking with GPU at Night-time
GPU를 이용한 야간 보행자 검출과 추적 시스템 구현
2015
Journal of Broadcast Engineering
GPU를 이용한 야간 보행자 검출과 추적 시스템 구현
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The detection phase is performed by Adaboost algorithm based on Haar-like features. Adaboost classifier is trained with datasets generated from infrared images. ...
We used the CUDA(Computer Unified Device Architecture) that is a parallel processing language in order to improve the speed of video-based pedestrian detection and tracking. ...
Examples of feature-based pedestrian detection techniques include the Adaboost algorithm [4] and SVM(Support Vector Machine) [5] . ...
doi:10.5909/jbe.2015.20.3.421
fatcat:u3amvtoybrhxnmtwbnajncpw7e
ROBOT MÓVIL CON NAVEGACIÓN BASADA EN VISIÓN Y DETECCIÓN DE PEATONES
2016
Ingenius: Revista de Ciencia y Tecnología
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Las métricas de evaluación para las propuestas de detección de personas fueron la precisión y sensibilidad, obteniendo mejores resultados con HOG. ...
Para la puesta en marcha se evalúan dos algoritmos de detección de peatones: cascada de clasificadores HOG y cascada de clasificadores LBP, tanto fuera de línea como a bordo del robot. ...
Pedestrian Detection Algorithms
Histogram of Oriented Gradients (HOG) This algorithm is a feature descriptor for object detection focused on pedestrian detection and introduced in [24] . ...
doi:10.17163/ings.n17.2017.09
fatcat:eeiz4wao7nhm3gnzvk7mhj3z3i
Intelligent Pedestrian Detection using Optical Flow and HOG
2016
International Journal of Advanced Computer Science and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
We present an automated pedestrian detection system by finding pedestrians' motion patterns and combing them with HOG features. ...
In literature, feature based approaches have been mostly used for pedestrian detection. ...
At each pixel level three descriptors HOG, LRP and LUV color channel values are computed. The authors use LUV color channel as the descriptor for computing feature vector. ...
doi:10.14569/ijacsa.2016.070955
fatcat:cgrqvjp2gncijnec752c6x6c5q
Integral Histogram with Random Projection for Pedestrian Detection
2015
PLoS ONE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The experiments show that both the random projection and integral histogram outperform the HOG feature obviously. ...
Finally, the two ideas are combined into a new descriptor termed IHRP, which outperforms the HOG feature with less dimensions and higher speed. ...
To enrich the description of HOG, Dalal [7] combined the HOG feature with the histogram feature based on movement and appearance for pedestrian detection in videos. Schwartz et al. ...
doi:10.1371/journal.pone.0142820
pmid:26569486
pmcid:PMC4646677
fatcat:7tmddhtjybes3hsj3zsa3x4goy
Learning Multilayer Channel Features for Pedestrian Detection
2017
IEEE Transactions on Image Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2016 pre-print arXiv:1603.00124v1 fatcat:xjff2wknhrevtnrzg5xost54we
Pedestrian detection based on the combination of Convolutional Neural Network (i.e., CNN) and traditional handcrafted features (i.e., HOG+LUV) has achieved great success. ...
It firstly integrates HOG+LUV with each layer of CNN into a multi-layer image channels. Based on the multi-layer image channels, a multi-stage cascade AdaBoost is then learned. ...
Firstly, it extracts the local sum features from HOG channels and LUV color channels (i.e., HOG+LUV). Then, cascade AdaBoost [20] , [36] is used to learn the classifier. ...
doi:10.1109/tip.2017.2694224
pmid:28459686
fatcat:ndlefcvzivg2lkrjt5f365beju
A comparative study of pedestrian detection methods using classical Haar and HoG features versus bag of words model computed from Haar and HoG features
2011
2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The bag of words model has been actively adopted by content based image retrieval and image annotation techniques. ...
By primitive features we refer in this paper to Haar features and Histogram of Oriented Gradients both being extremely used in object recognition in general and in pedestrian detection in particular. ...
We have approached two directions: (a) detection based on Haar and HoG features and (b)detection implemented on top of the codebook representation of Haar and HoG features. ...
doi:10.1109/iccp.2011.6047884
dblp:conf/iccp2/BreharN11
fatcat:ccqjyz3ajreepk6wdeednuyhiy
Improving pedestrian detection with selective gradient self-similarity feature
2015
Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Gradient features play important roles for the problem of pedestrian detection, especially the Histogram of Oriented Gradients (HOG) feature. ...
GSS is computed from HOG, and is applied to capturing the patterns of pairwise similarities of local gradient patches. ...
We here employ the AdaBoost-based cascade using the multiscale HOG and the corresponding SGSS as the one used in the of-the-art methods consider more feature channels such as color and gradient magnitude ...
doi:10.1016/j.patcog.2015.01.005
fatcat:4cglsuaa4zflxbzdvag2qt2hnq
Stereo-based Pedestrian Detection Using Two-stage Classifiers
2011
IAPR International Workshop on Machine Vision Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Detecting pedestrians from a moving vehicle is a challenging problem since the essence of the task is to search non-rigid moving objects with various appearances in a dynamic and outdoor environment. ...
Through experiments we show that the proposed method can reduce the calculation time while keeping the pedestrian detection capability. ...
One of the popular approaches to pedestrian detection is classification based. In [2] Histograms of Oriented Gradients (HOG) feature descriptor and a linear SVM was used to classify pedestrian. ...
dblp:conf/mva/NishiyamaSW11
fatcat:33ujievjqnb6tgt6xg7jghwzgu
Multi-cue onboard pedestrian detection
2009
2009 IEEE Conference on Computer Vision and Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Various powerful people detection methods exist. Surprisingly, most approaches rely on static image features only despite the obvious potential of motion information for people detection. ...
And third, the choice of the classifier-feature combination and several implementation details are crucial to reach best performance. ...
Further we thank Christoph Zach and Thomas Pock for publicly releasing OFLib, Andreas Ess for his dataset and results and Piotr Dollár for helpful discussion. ...
doi:10.1109/cvpr.2009.5206638
dblp:conf/cvpr/WojekWS09
fatcat:eaqjlml7v5ggzjlvohx77zphii
« Previous
Showing results 1 — 15 out of 970 results