This paper proposes a classifier based supervised method to detect moving vehicles from a moving camera. Dense scale invariant feature transform (dense SIFT) ...
Abstract—Detecting vehicles in video is a challenging prob- lem owing to the motion of vehicles, the camera and the background and to variations of speed.
This project allows visual detection and attribute based search of vehicles in surveillance scene. Read more.
Apr 25, 2024 · Moving vehicle detection based on dense SIFT and Extreme Learning Machine for visual surveillance. ... extreme learning machine for digital video ...
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May 13, 2024 · Vehicle detection methods based on machine learning typically require scanning the entire image to extract features. However, this process ...
Traffic surveillance: A review of vision based vehicle detection, recognition and tracking ... Deep Learning-Based Computer Vision ... based on computer vision. The ...
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Moving vehicle detection based on dense SIFT and Extreme Learning Machine for visual surveillance ... detection method using extreme learning machine · hmtl icon.
Feb 11, 2024 · The YOLOv1 is fast but not very effective for objects that are close together and on small targets. The YOLOv2 algorithm adds an anchor ...
Various studies experimented with tracking and locating moving cars using video monitoring. Typically, the video monitoring system incorporates both stationary ...
It supports several tasks, including tiny object detection, counting and density estimation. The dataset is constructed based on 12 satellite videos and 14 ...