Person re-identification by shifting-subclip

Y. Hiroi; W. Kameyama

doi:10.1117/12.2590410

13 March 2021 Person re-identification by shifting-subclip

Y. Hiroi, W. Kameyama

Proceedings Volume 11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021; 1176610 (2021) https://doi.org/10.1117/12.2590410
Event: International Workshop on Advanced Imaging Technology 2021 (IWAIT 2021), 2021, Online Only

Abstract

Because of the proliferation of surveillance camera and the wide range of its utilization, person re-identification (re-ID) technology has been drawing attention. Although video-based re-ID to extract spatial and temporal features has become the mainstream these days, the number of input frames for most of video-based re-ID architectures is usually fixed. Thus, frame looping or frame duplication is applied if the number of input frames is less than the specified value. However, by applying CNN to the entire looped frames, the temporal features cannot be well trained. Therefore, in this paper, we propose a method to apply CNN not to the entire looped frames but several times to the neighboring frames by shifting frames (shifting-subclip), then the average of each CNN output is processed for further temporal feature extraction. The evaluation using the MARS dataset shows that mAP (Mean Average Precision score) and CMC (Cumulative Match Curve) with the proposal is higher than that without it. It suggests that it is effective to apply the proposed shifting-subclip in the MARS dataset.

Citation Download Citation

Y. Hiroi and W. Kameyama "Person re-identification by shifting-subclip", Proc. SPIE 11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021, 1176610 (13 March 2021); https://doi.org/10.1117/12.2590410

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available