Joint estimation of the human body is suitable for many fields such as human–computer
interaction, autonomous driving, video analysis and virtual reality. Although many depth …

This paper introduces a system capable of real-time video surveillance in low-end edge
computing environment by combining object detection tracking algorithm. Recently, the …

Real-time object tracking necessitates a delicate balance between speed and accuracy, a
challenge exacerbated by the computational demands of deep learning methods. In this …

However, the nature of such operations is usually computationally expensive, and resulting
vector representation orders of magnitude larger than first-order baselines. Here, by …

In this paper, we propose a new framework for 3D tracking by detection based on fully
volumetric representations. On one hand, 3D tracking by detection has shown robust use in …

3D Human shape tracking consists in fitting a template model to temporal sequences of
visual observations. It usually comprises an association step, that finds correspondences …

The last several years have seen significant progress in using depth cameras for tracking
articulated objects such as human bodies, hands, and robotic manipulators. Most …

Existing depth-based approaches to predicting anthropometric measurements, such as body
height, arm span and hip circumference, either directly compute the measurements on 3D …

Gait recognition is one kind of biometric technology that can be used to monitor people
without their cooperation. It is visually-based system that uses Microsoft Kinect sensor to …

Intelligent Video surveillance is one of the most emerging technologies in Computer vision,
used for object detection and locating within the video or image. Majority of the research are …