Real-Time Human Recognition and Tracking For Video Surveillance: Detection, Recognition and Tracking of Human in Real-Time

 
9783844305715: Real-Time Human Recognition and Tracking For Video Surveillance: Detection, Recognition and Tracking of Human in Real-Time

Recent research in video surveillance has shown an increasing focus in creating reliable systems for observing humans' appearance, movements and activities, thus providing analytical information for advanced human behavior analysis. 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 book, a human detection technique suitable for video surveillance is presented. 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 proposed for efficient surveillance data management and automated human recognition. Proposed human detection and tracking are integrated with EBVR into a complete automated surveillance system which produces good result and real-time performance especially in non-crowded scene and handles automated human recognition with unique ID assignment accurately. This book could serve as an introduction for new researchers in this field.

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About the Author:

Fadhlan Hafiz Helmi, MSc. (Communcation Engneering). Currently doing PhD in Engineering specializing in Intelligent System at International Islamic University Malaysia (IIUM). Previously had been tutoring at IIUM and now an Academic Trainee affiliated with Faculty of Electrical Engineering at Universiti Teknologi MARA (UiTM), Malaysia.

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Book Description Book Condition: New. Publisher/Verlag: LAP Lambert Academic Publishing | Detection, Recognition and Tracking of Human in Real-Time | Recent research in video surveillance has shown an increasing focus in creating reliable systems for observing humans' appearance, movements and activities, thus providing analytical information for advanced human behavior analysis. 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 book, a human detection technique suitable for video surveillance is presented. 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 proposed for efficient surveillance data management and automated human recognition. Proposed human detection and tracking are integrated with EBVR into a complete automated surveillance system which produces good result and real-time performance especially in non-crowded scene and handles automated human recognition with unique ID assignment accurately. This book could serve as an introduction for new researchers in this field. | Format: Paperback | Language/Sprache: english | 197 gr | 220x150x7 mm | 136 pp. Bookseller Inventory # K9783844305715

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Book Description LAP Lambert Acad. Publ. Feb 2011, 2011. Taschenbuch. Book Condition: Neu. Neuware - Recent research in video surveillance has shown an increasing focus in creating reliable systems for observing humans' appearance, movements and activities, thus providing analytical information for advanced human behavior analysis. 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 book, a human detection technique suitable for video surveillance is presented. 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 proposed for efficient surveillance data management and automated human recognition. Proposed human detection and tracking are integrated with EBVR into a complete automated surveillance system which produces good result and real-time performance especially in non-crowded scene and handles automated human recognition with unique ID assignment accurately. This book could serve as an introduction for new researchers in this field. 136 pp. Englisch. Bookseller Inventory # 9783844305715

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Book Description LAP Lambert Acad. Publ. Feb 2011, 2011. Taschenbuch. Book Condition: Neu. Neuware - Recent research in video surveillance has shown an increasing focus in creating reliable systems for observing humans' appearance, movements and activities, thus providing analytical information for advanced human behavior analysis. 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 book, a human detection technique suitable for video surveillance is presented. 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 proposed for efficient surveillance data management and automated human recognition. Proposed human detection and tracking are integrated with EBVR into a complete automated surveillance system which produces good result and real-time performance especially in non-crowded scene and handles automated human recognition with unique ID assignment accurately. This book could serve as an introduction for new researchers in this field. 136 pp. Englisch. Bookseller Inventory # 9783844305715

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Book Description LAP Lambert Acad. Publ. Feb 2011, 2011. Taschenbuch. Book Condition: Neu. This item is printed on demand - Print on Demand Neuware - Recent research in video surveillance has shown an increasing focus in creating reliable systems for observing humans' appearance, movements and activities, thus providing analytical information for advanced human behavior analysis. 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 book, a human detection technique suitable for video surveillance is presented. 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 proposed for efficient surveillance data management and automated human recognition. Proposed human detection and tracking are integrated with EBVR into a complete automated surveillance system which produces good result and real-time performance especially in non-crowded scene and handles automated human recognition with unique ID assignment accurately. This book could serve as an introduction for new researchers in this field. 136 pp. Englisch. Bookseller Inventory # 9783844305715

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Book Description LAP Lambert Academic Publishing, Germany, 2011. Paperback. Book Condition: New. Language: English . Brand New Book. Recent research in video surveillance has shown an increasing focus in creating reliable systems for observing humans appearance, movements and activities, thus providing analytical information for advanced human behavior analysis. 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 book, a human detection technique suitable for video surveillance is presented. 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 proposed for efficient surveillance data management and automated human recognition. Proposed human detection and tracking are integrated with EBVR into a complete automated surveillance system which produces good result and real-time performance especially in non-crowded scene and handles automated human recognition with unique ID assignment accurately. This book could serve as an introduction for new researchers in this field. Bookseller Inventory # KNV9783844305715

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