A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
Speed Estimation and Abnormality Detection from Surveillance Cameras
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Preserved Fulltext
analysis modalities: (a) vehicle speed estimation based on a state of the art fully automatic camera calibration algorithm and (b) the detection of possibly abnormal events in the scene using robust optical ...
We propose a cooperative detection and tracking algorithm for the retrieval of vehicle trajectories in video surveillance footage based on deep CNN features that is ultimately used for two separate traffic ...
Examples such as automatic vehicle detection and tracking, speed and traffic flow analysis, detection of abnormal events, have been developed and their levels of accuracy are continuously increasing. ...
doi:10.1109/cvprw.2018.00020
dblp:conf/cvpr/GiannakerisKABV18
fatcat:wk7zjhdh25e57kabaq56gnqri4
Automatic Traffic Abnormality Detection in Traffic Scenes: An Overview
2017
DEStech Transactions on Engineering and Technology Research
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.
This article presents an overview of the state-of-theart methods of automatic traffic abnormality detection and their extensions. ...
In this paper, we introduced automatic traffic abnormality detection methods based on trajectory analysis, based on optical flow, based on image visual features descriptor and contrasted their advantages ...
, finally on the basis of the model for the detection of abnormal events. ...
doi:10.12783/dtetr/ismii2017/16639
fatcat:s5n256b77rfi3aqi3v7nonuigq
ANOMALY DETECTION OF EVENTS IN CROWDED ENVIRONMENT AND STUDY OF VARIOUS BACKGROUND SUBTRACTION METHODS
2017
International Journal of Students Research in Technology & Management
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.
Background subtraction is done by various methods like Weighted moving mean, Gaussian mixture model, Kernel density estimation. ...
Anomalous behavior detection and localization in videos of the crowded area that is specific from a dominant pattern are obtained. ...
is moving in opposite direction must be detected. ...
doi:10.18510/ijsrtm.2017.517(1)
fatcat:fpfttwsj3vg5dldfbsnxhwj2me
ANOMALY DETECTION OF EVENTS IN CROWDED ENVIRONMENT AND STUDY OF VARIOUS BACKGROUND SUBTRACTION METHODS
2017
International Journal of Students Research in Technology & Management
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.
Background subtraction is done by various methods like Weighted moving mean, Gaussian mixture model, Kernel density estimation. ...
increases accuracy in detection of a local anomaly with low computational cost. ...
is moving in opposite direction must be detected. ...
doi:10.18510/ijsrtm.2017.517
fatcat:agzdwi4gp5anfnfn55bzvpehee
Bumping: A Bump-Aided Inertial Navigation Method for Indoor Vehicles Using Smartphones
2014
IEEE Transactions on Parallel and Distributed Systems
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 2014; you can also visit the original URL.
The file type is application/pdf.
At the core of this method is a Bump Matching algorithm, which exploits the position information of the readily available speed bumps to provide useful references for the INS. ...
Equipped with accelerometers and gyroscopes, modern smartphones provide an appealing approach to infrastructure-free navigation for vehicles in indoor environments (for example parking garages). ...
For every detection event, we backtrack M detection events in the reverse direction of the route to create an event window. ...
doi:10.1109/tpds.2013.194
fatcat:hrfnmsrglzhcxpyem6w6nqgib4
Motion Pattern Extraction and Event Detection for Automatic Visual Surveillance
2011
EURASIP Journal on Image and Video 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 obtained direction and magnitude models learn the dominant motion orientations and magnitudes at each spatial location of the scene and are used to detect the major motion patterns. ...
The applied region-based segmentation algorithm groups local blocks that share the same motion direction and speed and allows a subregion of the scene to appear in different patterns. ...
This is performed by using two classifiers, a first one for detecting motion-speed-related events and a second one for detecting crowd convergence and divergence events. ...
doi:10.1155/2011/163682
fatcat:6llw7sn3bfe4hhwdju4dd6y7pa
Semantic Modelling for Behaviour Characterisation and Threat Detection
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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 2016; you can also visit the original URL.
The file type is application/pdf.
The model is then similar to a naturally spoken description of the event. We have built semantic models for the behaviours and threats addressed in the PETS 2016 IPATCH dataset. ...
Threat detection in computer vision can be achieved by extraction of behavioural cues. To achieve recognition of such cues, we propose to work with Semantic Models of behaviours. ...
Acknowledgement This project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 607567. ...
doi:10.1109/cvprw.2016.162
dblp:conf/cvpr/PatinoF16
fatcat:lf2mw5r4zfgwxas3l6fqybml3m
Motion Interaction Field for Accident Detection in Traffic Surveillance Video
2014
2014 22nd International Conference on 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.
This paper presents a novel method for modeling of interaction among multiple moving objects to detect traffic accidents. ...
The shape of the water surface is modeled in a field form using Gaussian kernels, which is referred to as the Motion Interaction Field (MIF). ...
This natural phenomenon is modeled in a field form using Gaussian kernels depending on both the speed and the direction of each moving object. ...
doi:10.1109/icpr.2014.528
dblp:conf/icpr/YunJYKC14
fatcat:d74ss53wozfqnldjg7ipyxvtxq
Toward Abnormal Trajectory and Event Detection in Video Surveillance
2017
IEEE transactions on circuits and systems for video technology (Print)
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.
This enables to detect abnormal behaviors related to speed and direction of object trajectories, as well as complex behaviors related to finer motion of each object. ...
Index Terms-abnormal event detection, group behavior analysis, trajectory-based analysis, pixel-based analysis, fused approach ). ...
First, foreground objects are extracted using the Gaussian Mixture Model algorithm for background subtraction. ...
doi:10.1109/tcsvt.2016.2589859
fatcat:rrp3f42tzzdbpipky4r54kzupu
Deep Learning with a Spatiotemporal Descriptor of Appearance and Motion Estimation for Video Anomaly Detection
2018
Journal of Imaging
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 main challenge in this system is to create models for detecting such events due to their changeability and the territory of the context of the scenes. ...
The automatic detection and recognition of anomalous events in crowded and complex scenes on video are the research objectives of this paper. ...
Feng et al. proposed automatic event detection based on an unsupervised deep Gaussian Mixture Model (GMM) [28] . ...
doi:10.3390/jimaging4060079
fatcat:duxic7mvrfh5na3dlaroong76e
Anomaly Detection through Spatio-temporal Context Modeling in Crowded Scenes
2014
2014 22nd International Conference on 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.
By combining the determinations from the two stages, a weighted scheme is proposed to automatically detect anomaly events from crowded scenes. ...
A novel statistical framework for modeling the intrinsic structure of crowded scenes and detecting abnormal activities is presented in this paper. ...
The rest abnormal events, such as unexpected turning back, sudden speed changes, and walking along wrong directions can all be successfully detected. ...
doi:10.1109/icpr.2014.383
dblp:conf/icpr/LuWMST14
fatcat:hxhlijvm6fhyfo5des3qoceaka
plusTipTracker: Quantitative image analysis software for the measurement of microtubule dynamics
2011
Journal of Structural Biology
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.
The strategy of grouping +TIP growth tracks for the analysis of MT dynamics has been introduced before . ...
Here we introduce plusTipTracker, a Matlab-based open source software package that combines automated tracking, data analysis, and visualization tools for movies of fluorescently-labeled microtubule (MT ...
Acknowledgments We thank Ken Myers (NIH/NHLBI) for providing EB3 movies, Alexis Lomakin for the EB3 movie in Fig. 4 , and Torsten Wittmann (UCSF) for providing the two-color EB1/MT movie used for validation ...
doi:10.1016/j.jsb.2011.07.009
pmid:21821130
pmcid:PMC3298692
fatcat:bkirwf6l7bfgbifm6f5sargoea
ANALYSIS OF SPATIO-TEMPORAL TRAFFIC PATTERNS BASED ON PEDESTRIAN TRAJECTORIES
2016
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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.
For example, pedestrians are able to change their speed or direction instantly. ...
In those cases, it is very useful if a prior model exists, which suggests certain outcomes. ...
Even though Fayazi et al. (2015) detect the change of signal offset by Gaussian mixture models, their approach is not useful for determining several periods. ...
doi:10.5194/isprs-archives-xli-b2-497-2016
fatcat:iz4et5cnyjefxp3heo24hw3edi
ANALYSIS OF SPATIO-TEMPORAL TRAFFIC PATTERNS BASED ON PEDESTRIAN TRAJECTORIES
2016
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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.
For example, pedestrians are able to change their speed or direction instantly. ...
In those cases, it is very useful if a prior model exists, which suggests certain outcomes. ...
Even though Fayazi et al. (2015) detect the change of signal offset by Gaussian mixture models, their approach is not useful for determining several periods. ...
doi:10.5194/isprsarchives-xli-b2-497-2016
fatcat:dkkj2s5ca5gblg33lk43dbxtvi
Smart video systems in police cars
2010
Proceedings of the international conference on Multimedia - MM '10
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 2011; you can also visit the original URL.
The file type is application/pdf.
This paper presents methods for detecting critical events in such police car videos. ...
to detect these events. ...
We model this as a Gaussian density in which downwards motion vectors have a higher prior probability for Falling down and other directions have a higher probability for Not Falling down. ...
doi:10.1145/1873951.1874084
dblp:conf/mm/JazayeriCTZ10
fatcat:oxufagceancdng45f3zseewzuq
« Previous
Showing results 1 — 15 out of 44,564 results