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Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP)

Abstract: 

Given a sequence of observations for each person in each camera, identifying or re-identifying the same person across different cameras is one of the objectives of video surveillance systems. In the case of video based person re-id, the challenge is to handle the high correlation between temporally adjacent frames. The presence of non-informative frames results in high redundancy which needs to be removed for an efficient re-id. We propose a novel method to handle this challenge using Determinantal Point Process (DPP) to select the most diverse and informative subset of frames from a given sequence. Since subset selection problem is NP-Hard, we propose to use an approximate solution called Lazy Greedy DPP (LGDPP) and further extend it to utilize the temporal information of sequences with our proposed Sequential LGDPP (SLGDPP) for video-based person re-id. The major advantages of the proposed DPP variants are their simplicity and plug and play nature, which make it possible to use them atop any pretrained re-id model followed by a feature fusion module. The effectiveness of proposed frameworks is demonstrated on two popular video re-id benchmark datasets through improvements over state-of-the-art methods and naive baseline sampling methods.

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Paper Details

Authors:
Gaurav Kumar Nayak, Utkarsh Shreemali, R Venkatesh Babu, Anirban Chakraborty
Submitted On:
19 September 2019 - 6:40am
Short Link:
Type:
Poster
Event:
Presenter's Name:
GAURAV KUMAR NAYAK
Paper Code:
3410
Document Year:
2019
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Document Files

ICIP_2019_POSTER_(PAPER_ID_3410).pdf

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[1] Gaurav Kumar Nayak, Utkarsh Shreemali, R Venkatesh Babu, Anirban Chakraborty, "Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP)", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4691. Accessed: Dec. 12, 2019.
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url = {http://sigport.org/4691},
author = {Gaurav Kumar Nayak; Utkarsh Shreemali; R Venkatesh Babu; Anirban Chakraborty },
publisher = {IEEE SigPort},
title = {Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP)},
year = {2019} }
TY - EJOUR
T1 - Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP)
AU - Gaurav Kumar Nayak; Utkarsh Shreemali; R Venkatesh Babu; Anirban Chakraborty
PY - 2019
PB - IEEE SigPort
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Gaurav Kumar Nayak, Utkarsh Shreemali, R Venkatesh Babu, Anirban Chakraborty. (2019). Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP). IEEE SigPort. http://sigport.org/4691
Gaurav Kumar Nayak, Utkarsh Shreemali, R Venkatesh Babu, Anirban Chakraborty, 2019. Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP). Available at: http://sigport.org/4691.
Gaurav Kumar Nayak, Utkarsh Shreemali, R Venkatesh Babu, Anirban Chakraborty. (2019). "Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP)." Web.
1. Gaurav Kumar Nayak, Utkarsh Shreemali, R Venkatesh Babu, Anirban Chakraborty. Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP) [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4691