Multi-Object tracking in video processing is a challenging task in computer vision. Typically,
tracking the objects in a video is performed using binocular vision or top-down camera …

Multiple object tracking is a fundamental task in computer vision with significant implications
for various applications, including traffic monitoring, autonomous driving, and video …

Multiple-object tracking is a fundamental computer vision task which is gaining increasing
attention due to its academic and commercial potential. Multiple-object detection …

Video cameras have been pervasively deployed in Smart Cities and timely processing of the
huge amount of video data brings up new challenges. Each individual camera is only able to …

Multi-object tracking in video surveillance is subjected to illumination variation, blurring,
motion, and similarity variations during the identification process in real-world practice. The …

Existing multi target multi camera tracking (MTMCT) datasets are small in terms of the
number of identities and video lengths. The creation of new real world datasets is hard as …

With the prevalence of surveillance video, surveillance data can be used in a wide variety of
applications where moving object detection, object recognition and pedestrian tracking has …

Multi-pedestrian trackers perform well when targets are clearly visible making the
association task quite easy. However, when heavy occlusions are present, a mechanism to …

We present a pedestrian tracking algorithm, DensePeds, that tracks individuals in highly
dense crowds (> 2 pedestrians per square meter). Our approach is designed for videos …

Real-time video surveillance systems are widely deployed in various environments,
including public areas, commercial buildings, and public infrastructures. Person detection is …