Articulated full-body tracking of high-dimensional 3D human figures is currently an active area of research. However, the vast majority of work has focused on tracking a person in controlled environments similar to dedicated marker-based motion-capture facilities. This means that many real-world considerations are ignored, such as background clutter, tracking various people of different builds,...

This report describes the design and implementation of a computer vision system that performs realtime people detection and tracking from stereo color video. The system, developed in the context of a project that aims to empower personal robots with advanced vision capabilities, illustrates a systematic approach to combining efficient but brittle algorithms into robust systems. The system’s tra...

Tracking of moving people has gained a matter of great importance due to rapid technological advancements in the field of computer vision. The objective of this study is to design a motion based detection and tracking multiple walking pedestrians randomly in different directions. In our proposed method, Gaussian mixture model (GMM) is used to determine moving persons in image sequences. It reac...

This paper reviews papers on tracking people in a video surveillance system, and it presents a new system designed for being able to cope with shadows in a real-time application for counting people which is one of the remaining main problems in adaptive background subtraction in such video surveillance systems. 1 Reveal Ltd., Level 1, Tudor Mall, 333 Remuera Rd, Auckland, New Zealand 2 CITR, De...

Investigations of multiple-object tracking aim to further our understanding of how people perform common activities such as driving in traffic. However, tracking tasks in the laboratory have overlooked a crucial component of much real-world object tracking: self-motion. We investigated the hypothesis that keeping track of one's own movement impairs the ability to keep track of other moving obje...

Resümee Super Resolution and Face Recognition Based People Activity Monitoring Enhancement Using Surveillance Camera Due to importance of security in the society, monitoring activities and recognizing specific people through surveillance video camera is playing an important role. One of the main issues in such activity rises from the fact that cameras do not meet the resolution requirement for ...

Recently, there has been a movement in computer vision from the processing of static images to the processing of video sequences. Current research has begun to investigate the recognition of human activities taking place in the scene. Applications such as video database, virtual reality interfaces, smart surveillance systems all have in common to track and interpret human activities. We propose...

In multi-person tracking scenarios, gaining access to the identity of each tracked individual is crucial for many applications such as long-term surveillance video analysis. Therefore, we propose a long-term multi-person tracker which utilizes face recognition information to not only enhance tracking performance, but also assign identities to tracked people. As face recognition information is n...