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Biometrics for Persons Tracking (Principles and Development) | ||
| journal of kerbala university | ||
| Article 1, Volume 10, Issue 1, 2014, Pages 72-87 PDF (0 K) | ||
| Abstract | ||
| A large collection of different systems need to reliable and accurate tracking of persons in sequence of video to use in a variety of applications such understanding of human actions and interactions, the interaction between human and computer, monitoring and security, augmented reality, editing of video, control to traffic, the communication by video and medical imaging. but the old techniques are inadequate for such tracking; instead a young technology will be used it is biometrics technology. The goal of this search is to Proposed a biometrics video tracking system use multiple biometrics technology to reliable and accurate tracking for persons in sequence of video and will proposed new biometric for tracking person is skeleton. Also this search explains most related concepts to this goal. and introduces general view of use biometrics to persons tracking. where A person is one of objects of interest in video, but tracking persons is a critical task because actions by humans in real-world settings involve large changes in the person's pose and the relative orientation with respect to the camera and different appearances. Biometrics techniques in this concern will be discussed. it involves persons recognition automatically depend on their behavioral and biological traits. Biometrics like face recognition and gait can be used to detect and tracking human in a video sequence. where this process involves continual estimate of person(s) location by using a camera. This process called video tracking The heart of video tracking is video tracker which estimates the location of the object over time. As known, objects of interest in a video sequence may be persons or other objects. In order to recognize person’s anatomical and behavioral traits for persons are used which make the video tracker recognize persons in more trust. but despite current development, and increase the progress in the future no system to now can strongly deal with the complexities of human pose and motion and human biometrics in an entirely general setting. | ||
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