An evaluation of optical flow algorithms for crowd analytics in surveillance system
Optical flow technique is one of the significant motion estimation techniques. Due to its importance, several optical flow technique have been used in order to estimate the velocity and the direction of the pedestrians in the crowded scenes. This paper presents an overview of the optical flow method...
| Main Authors: | Kajo, I., Malik, A.S., Kamel, N. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.20175 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2017
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012025589&doi=10.1109%2fICIAS.2016.7824064&partnerID=40&md5=ec8cbf48efaa5c30a68d69afbb70bf7b http://eprints.utp.edu.my/20175/ |
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utp-eprints.201752018-04-22T14:44:26Z An evaluation of optical flow algorithms for crowd analytics in surveillance system Kajo, I. Malik, A.S. Kamel, N. Optical flow technique is one of the significant motion estimation techniques. Due to its importance, several optical flow technique have been used in order to estimate the velocity and the direction of the pedestrians in the crowded scenes. This paper presents an overview of the optical flow methods that used mainly for pedestrian and crowd motion detection. The work focuses on the conventional optical flow method such as Lucas & Kanade and Horn & Schunck methods as well as the most recent methods such as Classic+NL that combines the classic formulation with a new non-local term. The improvement in computational efficiency and increasing interest in robust and accurate motion estimation algorithms lead to increase in the use of optical flow in crowd analytic applications. The implementation of optical flow algorithms is investigated and an evaluation of those techniques is provided qualitatively as well as quantitatively. The qualitative analysis illustrates the optical flow performance in terms of large motion, occlusion, motion discontinuities, illumination and different light condition. Quantitative analysis is in terms of computational time and accuracy. © 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012025589&doi=10.1109%2fICIAS.2016.7824064&partnerID=40&md5=ec8cbf48efaa5c30a68d69afbb70bf7b Kajo, I. and Malik, A.S. and Kamel, N. (2017) An evaluation of optical flow algorithms for crowd analytics in surveillance system. International Conference on Intelligent and Advanced Systems, ICIAS 2016 . http://eprints.utp.edu.my/20175/ |
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Universiti Teknologi Petronas |
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UTP Institutional Repository |
| description |
Optical flow technique is one of the significant motion estimation techniques. Due to its importance, several optical flow technique have been used in order to estimate the velocity and the direction of the pedestrians in the crowded scenes. This paper presents an overview of the optical flow methods that used mainly for pedestrian and crowd motion detection. The work focuses on the conventional optical flow method such as Lucas & Kanade and Horn & Schunck methods as well as the most recent methods such as Classic+NL that combines the classic formulation with a new non-local term. The improvement in computational efficiency and increasing interest in robust and accurate motion estimation algorithms lead to increase in the use of optical flow in crowd analytic applications. The implementation of optical flow algorithms is investigated and an evaluation of those techniques is provided qualitatively as well as quantitatively. The qualitative analysis illustrates the optical flow performance in terms of large motion, occlusion, motion discontinuities, illumination and different light condition. Quantitative analysis is in terms of computational time and accuracy. © 2016 IEEE. |
| format |
Article |
| author |
Kajo, I. Malik, A.S. Kamel, N. |
| spellingShingle |
Kajo, I. Malik, A.S. Kamel, N. An evaluation of optical flow algorithms for crowd analytics in surveillance system |
| author_sort |
Kajo, I. |
| title |
An evaluation of optical flow algorithms for crowd analytics in surveillance system |
| title_short |
An evaluation of optical flow algorithms for crowd analytics in surveillance system |
| title_full |
An evaluation of optical flow algorithms for crowd analytics in surveillance system |
| title_fullStr |
An evaluation of optical flow algorithms for crowd analytics in surveillance system |
| title_full_unstemmed |
An evaluation of optical flow algorithms for crowd analytics in surveillance system |
| title_sort |
evaluation of optical flow algorithms for crowd analytics in surveillance system |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2017 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012025589&doi=10.1109%2fICIAS.2016.7824064&partnerID=40&md5=ec8cbf48efaa5c30a68d69afbb70bf7b http://eprints.utp.edu.my/20175/ |
| _version_ |
1741196329922592768 |
| score |
11.62408 |