Adversarial Domain adaptation for action recognition around the clock

Anwaar Ul-Haq

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

Due to the numerous potential applications in visual surveillance and nighttime driving, recognizing human action in low-light conditions remains a difficult problem in computer vision. Existing methods separate action recognition and dark enhancement into two distinct steps to accomplish this task. However, Isolating the recognition and enhancement impedes end-to-end learning of the space-time representation for video action classification. This paper presents a domain adaptation-based action recognition approach that uses adversarial learning in cross-domain settings to learn cross-domain action recognition. Supervised learning can train it on a large amount of labelled data from the source domain (daytime action sequences). However, it uses deep domain invariant features to perform unsupervised learning on many unlabelled data from the target domain (night-time action sequences). The resulting augmented model, named 3D-DiNet can be trained using standard backpropagation with an additional layer. It achieves SOTA performance on InFAR and XD145 actions datasets.
Original languageEnglish
Title of host publication2022 International Conference on Digital Image Computing
Subtitle of host publicationTechniques and Applications (DICTA 2022)
Place of PublicationUnited States
PublisherIEEE Xplore
Pages279-285
Number of pages7
ISBN (Electronic)9781665456425
ISBN (Print)9781665456432
DOIs
Publication statusE-pub ahead of print - 10 Feb 2023
EventInternational Conference on Digital Image Computing: Techniques and Applications (DICTA 2022) - Rydges World Square, Sydney, Australia
Duration: 30 Nov 202202 Dec 2022
http://dicta2022.dictaconference.org/ (Conference website)
http://dicta2022.dictaconference.org/full_program.html#oral4 (Program)
https://ieeexplore.ieee.org/xpl/conhome/10034558/proceeding (Conference proceedings)
http://dicta2022.dictaconference.org/DICTA%202022%20CFP.pdf (Call for papers)

Publication series

Name2022 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2022

Conference

ConferenceInternational Conference on Digital Image Computing
Country/TerritoryAustralia
CitySydney
Period30/11/2202/12/22
OtherThe International Conference on Digital Image Computing: Techniques and Applications (DICTA) is the main Australian Conference on computer vision, image processing, pattern recognition, and related areas. DICTA was established in 1991 as the premier conference of the Australian Pattern Recognition Society (APRS).
Internet address

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