Features selection for multi-camera tracking

A. Aziz, Nor Nadirah and Mohd Mustafah, Yasir and Azman, Amelia Wong and Zainuddin, N. Afiqah and Rashidan, M. Ariff (2014) Features selection for multi-camera tracking. In: International Conference on Computer and Communication Engineering (ICCCE 2014), 23rd – 25th September 2014, Sunway Putra Hotel, Kuala Lumpur.

	PDF Restricted to Repository staff only Download (1MB) | Request a copy
	PDF (full paper) - Published Version Restricted to Registered users only Download (263kB) | Request a copy
Preview	PDF Download (447kB) | Preview

Abstract

Snatch theft is becoming more prevalent in Malaysia nowadays and proper measures must be taken to reduce it. CCTV surveillance systems have been widely used as a street crime prevention tool across public and private areas. Tracking the same object within different cameras' view is essential in many surveillance applications. Recently, most of the researchers have grown more interest on how to track objects across cameras due to the increasing number of cameras. However, the current approach proposed by the researchers still offer trade-off in terms of its accuracy and speed. As the tracking accuracy increases, the speed will decrease that acts reversely proportional to it. This paper presents a novel approach to track moving objects across distributed cameras that provides the most optimal trade-off based on color, texture and edge features. The color, edge and texture features for target and candidate blobs are computed by a novel computational algorithm. This study focuses on analyzing of video surveillance in public places, specifically in outdoor environment. In the result section, the comparison between the effectiveness of the features used in the tracking algorithm is presented. The performance of the method is analyzed based on its accuracy and speed. The more suitable features are identified. Experimental results show the effectiveness of this method for real-time operation.

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	5107/41606
Uncontrolled Keywords:	tracking; features; non-overlapping camera views; accuracy; distributed
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering
Depositing User:	Dr Yasir Mohd Mustafah
Date Deposited:	17 Feb 2015 10:06
Last Modified:	21 Sep 2017 20:13
URI:	http://irep.iium.edu.my/id/eprint/41606

Actions (login required)

View Item