eprintid: 6127
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/61/27
datestamp: 2023-11-09 16:17:53
lastmod: 2023-11-09 16:17:53
status_changed: 2023-11-09 16:04:57
type: conference_item
metadata_visibility: show
creators_name: Kajo, I.
creators_name: Malik, A.S.
creators_name: Kamel, N.
title: Motion estimation of crowd flow using optical flow techniques: A review
ispublished: pub
keywords: Behavioral research; Computational efficiency; Optical flows; Pixels; Velocity, Crowd; Motion detection; Motion Vectors; Object velocity and direction; Optical flow estimation, Motion estimation
note: cited By 17; Conference of 9th International Conference on Signal Processing and Communication Systems, ICSPCS 2015 ; Conference Date: 14 December 2015 Through 16 December 2015; Conference Code:119156
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. © 2015 IEEE.
date: 2015
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963635525&doi=10.1109%2fICSPCS.2015.7391778&partnerID=40&md5=a29097c329b28f8b3495a66eb279c327
id_number: 10.1109/ICSPCS.2015.7391778
full_text_status: none
publication: 2015, 9th International Conference on Signal Processing and Communication Systems, ICSPCS 2015 - Proceedings
refereed: TRUE
isbn: 9781467381185
citation:   Kajo, I. and Malik, A.S. and Kamel, N.  (2015) Motion estimation of crowd flow using optical flow techniques: A review.  In: UNSPECIFIED.