Adaptive Optical Flow for Person Tracking

التفاصيل البيبلوغرافية
العنوان: Adaptive Optical Flow for Person Tracking
المؤلفون: Denman, Simon, Chandran, Vinod, Sridharan, Subramanian
المساهمون: Lovell, B, Maeder, A
المصدر: DICTA2005 Digital Image Computing: Techniques and Applications
بيانات النشر: IEEE CS Press
سنة النشر: 2005
المجموعة: Queensland University of Technology: QUT ePrints
مصطلحات موضوعية: Adaptive Motion Detection, Optical Flow, Person Tracking
الوصف: Person tracking systems are dependent on being able to locate a person accurately across a series of frames. Optical flow can be used to segment a moving object from a scene, provided the expected velocity of the moving object is known; but successful detection also relies on being able segment the background. A problem with existing optical flow techniques is that they don’t discriminate the foreground from the background, and so often detect motion (and thus the object) in the background. To overcome this problem, we propose a new optical flow technique, that is based upon an adaptive background segmentation technique, which only determines optical flow in regions of motion. This technique has been developed with a view to being used in surveillance systems, and our testing shows that for this application it is more effective than other standard optical flow techniques.
نوع الوثيقة: book part
وصف الملف: application/pdf
اللغة: unknown
Relation: https://eprints.qut.edu.au/25579/1/c25579.pdf; Denman, Simon, Chandran, Vinod, & Sridharan, Subramanian (2005) Adaptive Optical Flow for Person Tracking. In Lovell, B & Maeder, A (Eds.) DICTA2005 Digital Image Computing: Techniques and Applications. IEEE CS Press, CD Rom, pp. 1-7.; https://eprints.qut.edu.au/25579/; Faculty of Built Environment and Engineering; Science & Engineering Faculty; Australian Research Centre for Aerospace Automation
الاتاحة: https://eprints.qut.edu.au/25579/
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رقم الانضمام: edsbas.3ACDB791
قاعدة البيانات: BASE