As a video task, Multiple Object Tracking (MOT) is expected to capture temporal information
of targets effectively. Unfortunately, most existing methods only explicitly exploit the object …

Tracking objects over long videos effectively means solving a spectrum of problems, from
short-term association for un-occluded objects to long-term association for objects that are …

Multi-object tracking (MOT) in video sequences remains a challenging task, especially in
scenarios with significant camera movements. This is because targets can drift considerably …

This work proposes an end-to-end multi-camera 3D multi-object tracking (MOT) framework. It
emphasizes spatio-temporal continuity and integrates both past and future reasoning for …

The association task of assigning detections to tracks in multi-person tracking has recently
been improved by integration of a second matching stage for low-confident detections that …

Handling unreliable detections and avoiding identity switches are crucial for the success of
multiple object tracking (MOT). Ideally, MOT algorithm should use true positive detections …

As an intermediate task in computer vision, multiple pedestrian tracking (MPT) aiming at
tracking the pedestrians from a given video, has attracted attention due to its potential …

Significant progress has been achieved in multi-object tracking (MOT) through the evolution
of detection and re-identification (ReID) techniques. Despite these advancements …

Abstract 3D multi-object tracking (MOT) is vital for many applications including autonomous
driving vehicles and service robots. With the commonly used tracking-by-detection …

The field of multi-object tracking has recently seen a renewed interest in the good old
schema of tracking-by-detection, as its simplicity and strong priors spare it from the complex …