Single-object tracking is regarded as a challenging task in computer vision, especially in
complex spatio-temporal contexts. The changes in the environment and object deformation …

The nascent applicability of multi-camera tracking (MCT) in numerous real-world
applications makes it a significant computer vision problem. While visual tracking of objects …

Most online multi-object trackers perform object detection stand-alone in a neural net without
any input from tracking. In this paper, we present a new online joint detection and tracking …

Accurate and robust visual object tracking is one of the most challenging and fundamental
computer vision problems. It entails estimating the trajectory of the target in an image …

Deep learning-based methods for video pedestrian detection and tracking require large
volumes of training data to achieve good performance. However, data acquisition in …

Recently, satellite video has become an emerging means of earth observation, providing the
possibility of tracking moving objects. However, the existing multi-object trackers are …

Despite considerable similarities between multiple object tracking (MOT) and single object
tracking (SOT) tasks, modern MOT methods have not benefited from the development of …

Modern multi-object tracking (MOT) systems usually build trajectories through associating
per-frame detections. However, facing the challenges of camera motion, fast motion, and …

Abstract Recently, Multiple Object Tracking has achieved great success, which consists of
object detection, feature embedding, and identity association. Existing methods apply the …

Despite the recent advances in multiple object tracking (MOT), achieved by joint detection
and tracking, dealing with long occlusions remains a challenge. This is due to the fact that …