Automated human recognition and tracking for video surveillance system /
Recent research in video surveillance system has shown an increasing focus on creating reliable systems utilizing non-computationally expensive technique for observing humans' appearance, movements and activities, thus providing analytical information for advanced human behavior analysis and re...
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| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
Gombak, Selangor :
Kulliyyah of Engineering, International Islamic University Malaysia,
2010
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| Subjects: | |
| Online Access: | http://studentrepo.iium.edu.my/handle/123456789/4355 |
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| LEADER | 031320000a22003250004500 | ||
|---|---|---|---|
| 008 | 110107n2010 my ad g m 000 0 eng d | ||
| 040 | |a UIAM |b eng | ||
| 041 | |a eng | ||
| 050 | 0 | 0 | |a TK6680.3 |
| 100 | 1 | |a Fadhlan Hafizhelmi bin Kamaru Zaman | |
| 245 | 1 | |a Automated human recognition and tracking for video surveillance system / |c by Fadhlan Hafizhelmi Bin Kamaru Zaman | |
| 260 | |a Gombak, Selangor : |b Kulliyyah of Engineering, International Islamic University Malaysia, |c 2010 | ||
| 300 | |a xviii, 153 leaves : |b ill. charts ; |c 30cm. | ||
| 500 | |a Abstracts in English and Arabic. | ||
| 500 | |a "A dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science (Communication Engineering)."--On t.p. | ||
| 502 | |a Thesis (MSCE)--International Islamic University Malaysia, 2010. | ||
| 504 | |a Includes bibliographical references (leaves 128-135). | ||
| 520 | |a Recent research in video surveillance system has shown an increasing focus on creating reliable systems utilizing non-computationally expensive technique for observing humans' appearance, movements and activities, thus providing analytical information for advanced human behavior analysis and realistic human modeling. In order for the system to function, it requires robust method for detecting and tracking human from a given input of video streams. In this thesis, a human detection technique suitable for video surveillance is presented which requires fast computations in addition of accurate results. The techniques proposed include adaptive frame differencing for background subtraction, contrast adjustment for shadow removal, and shape based approach for human detection. The tracking technique on the other hand uses correspondence approach. Event Based Video Retrieval (EBVR) system is also proposed for efficient surveillance data management and automated human recognition with unique ID assignment. Proposed human detection and tracking are integrated with EBVR and motion detection into a complete automated surveillance system called Active Vis Video Surveillance Analysis System (AVSAS) which produces good result and real-time performance especially in non-crowded scene. The EBVR system also proves to be able to handle automated human recognition with unique ID assignment accurately. | ||
| 596 | |a 1 | ||
| 650 | 0 | 0 | |a Video surveillance |
| 650 | 0 | 0 | |a Human activity recognition |
| 650 | 0 | 0 | |a Automatic tracking |
| 655 | 7 | |a Theses, IIUM local | |
| 690 | |a Dissertations, Academic |x Department of Electrical and Computer Engineering |z IIUM | ||
| 710 | 2 | |a International Islamic University Malaysia. |b Department of Electrical and Computer Engineering | |
| 856 | 4 | |u http://studentrepo.iium.edu.my/handle/123456789/4355 | |
| 900 | |a hab-ro-zhmn | ||
| 999 | |c 435275 |d 464057 | ||
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| 952 | |0 0 |6 TS CDF TK 006680.000003 F000144A 002010 |7 0 |8 THESES |9 845344 |a IIUM |b IIUM |c MULTIMEDIA |g 0.00 |o ts cdf TK 6680.3 F144A 2010 |p 11100326891 |r 2017-10-26 |t 1 |v 0.00 |y THESISDIG | ||