A Probabilistic Framework for Real-Time Head Shape Detection and Tracking
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Computing and Information Technology > Computer science > A Probabilistic Framework for Real-Time Head Shape Detection and Tracking
A Probabilistic Framework for Real-Time Head Shape Detection and Tracking

A Probabilistic Framework for Real-Time Head Shape Detection and Tracking


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

This dissertation, "A Probabilistic Framework for Real-time Head Shape Detection and Tracking" by Shun-cho, Jacky, Yuk, 郁順祖, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled AProbabilisticFrameworkforReal-TimeHeadShapeDetection andTracking submitted by Jacky, Shun-ChoYUK for the Degree of Master of Philosophy at the University of Hong Kong in August 2007 Vision based real-time human tracking involves the automatic detection and track- ing of human bodies in video sequences. This task is not trivial due to the difficulties in identifying articulate human bodies in crowded and cluttered environments. Most of the existing approaches are either too computationally intensive or unable to han- dle crowded situations. This dissertation presents a robust human head detection and tracking system based on a probabilistic head shape detection framework with decen- tralized tracking approach. A fast and robust probabilistic shape contour matching framework is firstly devel- opedtodetectandlocateheadshapeobjectsinaveryefficientmanner. Theframework firstly applies a fast hough voting, and a pruning is performed according to the hough votes in order to eliminate most of the non-head locations. The remaining potential head candidates are then verified by a novel probabilistic shape template matching method. The fast hough pruning together with the efficient shape matching approach ensure that the framework is able to perform in real-time. The detected head objects are then tracked by decentralized trackers. Here, a de- centralizedtrackerreferstothetrackerthattracksexactlyoneobject. Essentially, each newly detected object will instantiate an individual tracker, which tracks the object and destroys itself when the object disappears. Two trackers communicate with each other only when they are getting close enough. This approach simplifies the compe- tition of targets between trackers, and is more efficient than the centralized approach whosetimecomplexitydependsheavilyonthenumberoftrackedobjects. Inthisway, each tracker can focus on its own target head to improve tracking robustness, and the efficiency of the tracking is reserved for real-time application. The system has been tested with several challenging digital surveillance video se- quences. Experimental results show that this approach is robust and very efficient for multiple head tracking in real-time even under crowded and clutter environments. (310 words) DOI: 10.5353/th_b3955886 Subjects: Computer vision


Best Sellers


Product Details
  • ISBN-13: 9781361434376
  • Publisher: Open Dissertation Press
  • Publisher Imprint: Open Dissertation Press
  • Height: 279 mm
  • No of Pages: 88
  • Weight: 499 gr
  • ISBN-10: 1361434376
  • Publisher Date: 27 Jan 2017
  • Binding: Hardback
  • Language: English
  • Spine Width: 6 mm
  • Width: 216 mm


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
A Probabilistic Framework for Real-Time Head Shape Detection and Tracking
Open Dissertation Press -
A Probabilistic Framework for Real-Time Head Shape Detection and Tracking
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

A Probabilistic Framework for Real-Time Head Shape Detection and Tracking

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!