DOIONLINE 
DOIONLINE Publish In |
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE)-IJIEEE |
 Journal Home Volume Issue |
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Issue |
Volume-5,Issue-4 ( Apr, 2017 ) | |||||||||
Paper Title |
Person Re-Identification Using Texture Driven Deep Learning | |||||||||
Author Name |
Bontha Kanchana, B.Suneetha, Pamidi Malathi | |||||||||
Affilition |
152W1D3802 GVR&S College of Engineering and Technology Asst.Prof. Dept. Of ECE GVR&S College of Engineering and Technology 132W1D3803 Dept.of ECE.., GVR&S College of Engineering and Technology | |||||||||
Pages |
51-53 | |||||||||
Abstract |
Person re-identification largely involves input patterns or attributes. Recognizing a person across non-overlapping camera views, with different pose, illumination, and camera characteristics. To propose to tackle this problem by training a deep convolutional network to represent a person’s appearance as a low-dimensional feature vector that is invariant to common appearance variations encountered in the re-identification problem. Specifically, a Siamese-network architecture is used to train a feature extraction network using pairs of similar and dissimilar images. Keywords- person re-identification, deep learning, neural networks, feature embedding | |||||||||
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