A Survey on Person Reidentification
Sree Vrinda G. M1, Prasanth R. S2
1Sree Vrinda G. M, Department of Computer Science and Engineering, Kerala University, Mohandas College of Engineering and Technology, Trivandrum (Kerala), India.
2Prasanth R. S, Department of Computer Science and Engineering, Kerala University, Mohandas College of Engineering and Technology, Trivandrum (Kerala), India.
Manuscript received on 15 February 2016 | Revised Manuscript received on 25 February 2016 | Manuscript Published on 28 February 2016 | PP: 98-100 | Volume-5 Issue-3, February 2016 | Retrieval Number: C4416025316/16©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In recent years, person reidentification receives an intensive attention in the field of intelligent video surveillance (IVR). Recognizing an instance of a person captured by one camera to another instance of the person captured by different camera is mainly called as Person Reidentification. It’s an important task for surveillance applications, either for on-line tracking of a person or off-line retrieval of all videos containing a person of interest. Person reidentification is considered as a challenging problem because the appearance of individuals varies greatly through the scenes, due to different acquisition devices, changes in viewpoints, illumination conditions, shadows, different pose or orientation of person that has to be searched for. This paper focuses on the survey of different techniques that are used for person reidentification and to tackle all the issues and challenging aspects of person reidentification while simultaneously describing previously proposed solutions for the problems.
Keywords: IVR, Person Reidentification
Scope of the Article: IoT