NDLI: Motion estimation of crowd flow using optical flow techniques: A review

Content Provider	IEEE Xplore Digital Library
Author	Kajo, I. Malik, A.S. Kamel, N.
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia (Kajo, I.; Malik, A.S.; Kamel, N.)
Abstract	Velocity and direction estimation plays an important role in crowd analytic and behavior recognition. This paper presents an overview of the literature published for motion detection and estimation techniques. The work particularly focuses on optical flow techniques such as Lucas & Kanade and Horn & Schunck methods which describe the direction and velocity of pixels in a sequence of two consecutive images. A two-dimensional velocity vector, carrying information of the direction and the velocity of motion is assigned to each pixel in a given place in the image. Optical flow method is extensively used for motion estimation due to its ability to compute the velocities accurately. 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. We investigate the implementation of optical flow methods in the published work and we provide comparison between these techniques qualitatively as well as quantitatively. The qualitative analysis illustrates the optical flow performance in terms of rigid motion, non-rigid motion, motion discontinuities, noise and different light condition. Quantitative analysis is in terms of computational time and accuracy.
Starting Page	1
Ending Page	9
File Size	973770
Page Count	9
File Format	PDF
e-ISBN	9781467381185
DOI	10.1109/ICSPCS.2015.7391778
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-14
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision Image motion analysis Tracking Motion vector Object velocity and direction Optical flow estimation Crowd Optical imaging Feature extraction Motion detection Optical sensors Optical noise
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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