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              <text>Person re-identification using part based hybrid descriptor</text>
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              <text>Descriptor; Person re-identification; Video surveillance system; Weighted color histogram</text>
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              <text>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.</text>
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              <text>Sathish P.K.; Balaji S.</text>
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              <text>Proceedings - 2016 2nd International Conference on Cognitive Computing and Information Processing, CCIP 2016</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2016-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/CCIP.2016.7802849" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/CCIP.2016.7802849&lt;/a&gt;
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              <text>Restricted Access</text>
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              <text>ISBN: 978-150901025-7</text>
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              <text>Sathish P.K., Computer Science and Engineering Department, Christ University, Bangalore, 560074, India; Balaji S., Centre for Emerging Technologies, Jain University, Karnataka, 562112, India</text>
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