Pedestrian detection and tracking in video surveillance systems is a complex task in
computer vision research, which has widely used in many applications such as abnormal …

Multi-target tracking is a complex problem in computer vision, involving occlusion, target
trajectory disappearance, etc. In response to these questions, we first propose a trajectory …

In recent years, several methods and datasets have been proposed to push the performance
of pedestrian detection in crowded scenarios. In this study, three crowd-specific detectors …

Multi-Panda Tracking (MPT) is a video-based tracking task for panda individuals, which is
conducive to the observation and measurement of distribution and status of pandas …

Current multi-object tracking (MOT) algorithms are dominated by the tracking-by-detection
paradigm, which divides MOT into three independent sub-tasks of target detection …

We propose a new Detection-Tracking (DT) framework whereby one can detect a
pedestrian, or multiple ones, with-in a video image and then track them concurrently in a flex …

Multiple object tracking is one of the most fundamental tasks in computer vision, and it is still
very challenging for real-world applications due to its severe occlusion and motion blur …

The multi-object tracking (MOT) algorithms of the joint detection and embedding (JDE)
approach estimate bounding boxes and re-identification (re-ID) features of objects with the …

Multi-pedestrian tracking (MPT) on the road is closely related to a reduction in the possibility
of pedestrian-vehicle collisions when using advanced driver assistance systems. Therefore …

Multiple object tracking (MOT) framework based on bifurcate strategy was usually
challenged by data association of different model path, which work for object localisation …