Computer vision has evolved in the last decade as a key technology for numerous
applications replacing human supervision. Timely detection of traffic violations and …

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 …

Automated crowd density estimation and counting are popular and important topic in crowd
analysis. The last decades witnessed different of many significant publications in this field …

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 …

This paper presents a hierarchical composition approach for multi-view object tracking. The
key idea is to adaptively exploit multiple cues in both 2D and 3D, eg, ground occupancy …

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 …

Due to the advancement of camera hardware and machine learning techniques, video
object tracking for surveillance has received noticeable attention from the computer vision …

Abstract Multi-Camera Multi-Object Tracking is currently drawing attention in the computer
vision field due to its superior performance in real-world applications such as video …

Tracking-by-detection is one of the typical paradigms for multi-person tracking, due to the
availability of automatic pedestrian detectors. However, existing multi-person trackers are …

Nonoverlapping multicamera visual object tracking typically consists of two steps: single-
camera object tracking (SCT) and inter-camera object tracking (ICT). Most of tracking …