Automatic video analysis from urban surveillance cameras is a fast-emerging field based on
computer vision techniques. We present here a comprehensive review of the state-of-the-art …

Multi-object tracking can be achieved by detecting objects in individual frames and then
linking detections across frames. Such an approach can be made very robust to the …

In this paper, we show that tracking multiple people whose paths may intersect can be
formulated as a convex global optimization problem. Our proposed framework is designed to …

There has been an ever-increasing interest in research on traffic detection and traffic scene
understanding based on computer vision, driven by the increasing processor speed and the …

In this paper, we show that tracking multiple people whose paths may intersect can be
formulated as a multi-commodity network flow problem. Our proposed framework is …

Traffic surveillance has become an important topic in intelligent transportation systems
(ITSs), which is aimed at monitoring and managing traffic flow. With the progress in computer …

Traffic surveillance has become an important topic in intelligent transportation systems
(ITSs), which is aimed at monitoring and managing traffic flow. With the progress in computer …

Many state-of-the-art approaches to multi-object tracking rely on detecting them in each
frame independently, grouping detections into short but reliable trajectory segments, and …

An apparatus and method for moving object detection com putes a corresponding frame
difference for every tWo succes sive image frames of a moving object, and segments a …

In this paper, we address the task of tracking groups of people in surveillance scenarios.
This is a major challenge in computer vision, since groups are structured entities, subjected …