Person re-identification using part based hybrid descriptor
Descriptor; Person re-identification; Video surveillance system; Weighted color histogram
Real time person re-identification systems require robust descriptors for useful feature extraction. This paper focuses on a novel descriptor which can efficiently re-identify persons in varied views and change in illumination. The descriptors detect the features by dividing the person image into multiple parts. We use a combination of local and global feature descriptors to form a reliable descriptor. Performance evaluation is done on a benchmarking dataset. 2016 IEEE.
Proceedings - 2016 2nd International Conference on Cognitive Computing and Information Processing, CCIP 2016
Institute of Electrical and Electronics Engineers Inc.
Sathish P.K., Computer Science and Engineering Department, Christ University, Bangalore, 560074, India; Balaji S., Centre for Emerging Technologies, Jain University, Karnataka, 562112, India