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 …

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

This paper presents a solution for Track 1 of the AI City Challenge 2023, which involves
Multi-Camera People Tracking in indoor scenarios. The proposed framework comprises four …

Computation and memory resource management strategies are the backbone of continuous
object tracking in intelligent vehicle orchestration. Multi-object tracking generates enormous …

Multi-camera tracking (MCT) plays a crucial role in various computer vision applications.
However accurate tracking of individuals across multiple cameras faces challenges …

To solve the tracking accuracy degradation problem in scenarios with large displacements
or nonrigid motion during target tracking, this paper proposes an optical flow estimation …

Visual tracking is a crucial skill for bionic robots to perceive the environment and control their
movement. However, visual tracking is challenging when the target undergoes nonrigid …

We present a robust multi-camera gymnast tracking, which has been applied at international
gymnastics championships for gymnastics judging. Despite considerable progress in multi …

Multi-object tracking is a challenging task due to the occlusion of different targets. Existing
methods focus on inferring a robust and discriminative feature for data association based on …

Bottom-up human pose estimation decouples computational complexity from the number of
people but requires additional operations to match the detected keypoints to each human …