NDLI: Object tracking in video sequences using information fusion principles. Meanshift kernel implementation using fuzzy rules

Content Provider	IEEE Xplore Digital Library
Author	Alam, I.
Copyright Year	2013
Description	Author affiliation: Sch. of Electron., Electr. & Comput. Eng., Univ. of Birmingham, Birmingham, UK (Alam, I.)
Abstract	Tracking of an object of interest is posed as a time varying problem and complexity of the tracking algorithm at any specific moment in time is dynamically adjusted based on the scene conditions as shown in fig 1. We have implemented kernel weighted discrete probability density function of the target color feature by using a Fuzzy Rule Based System. This technique based on Fuzzy Logic and Look-up tables not only facilitates near real time tracking in video feed but performs very competitively to the traditional mean shift algorithm which in its original form is very cumbersome to implement especially when a real time intervention is required for e.g. in surveillance or in safety critical applications where driving assistance is the prime objective. A centralized controller or supervisor utilizes Bhattacharyya quality control and standard conflict resolution techniques to decide the level of algorithmic complexity needed to resolve any potential differences of opinion that may arise among modules. By selecting appropriate loop as in the Fig 1 and hence the optimum level of information fusion our tracker becomes much more robust even during time spans when a large level of maneuverability is observed as compared to the traditional mean shift with an added advantage of real time capa.
Starting Page	146
Ending Page	151
File Size	490524
Page Count	6
File Format	PDF
ISBN	9781479903832
DOI	10.1109/CEEC.2013.6659462
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-17
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Particle Filters Image color analysis Heuristic algorithms Educational institutions Real-time systems Information Fusion Kernel Meanshift
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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