Title :
Increasing the speed of Model-based detection and tracking through Wavelet transform
Author :
Pourfard, Mohammadreza ; Faez, Karim ; Abdollahifard, Mohammadjavad
Author_Institution :
Dept. of Electr., Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
Methods for tracking an object are being categorized to four groups: region-based, model-based, feature-based and active contour. Each of these methods has its own advantage and disadvantages. Model-based is very accurate but its computational time is very high and this causes problems in tracking especially in real-time applications. In model-based method, firstly we must adapt an object to the different frames of the video and then try to track it. Here we have proposed a new method that reduces the time of tracking very tangibly and are tested in two human body databases (CASIA and Mocap) with remarkable improvement in results.
Keywords :
computer vision; image resolution; object detection; tracking; video signal processing; wavelet transforms; CASIA; Mocap; active contour tracking; feature-based tracking; human body databases; image processing; machine vision; model-based detection; model-based tracking; object tracking; region-based tracking; resolution reduction; video; wavelet transform; Active contours; Biological system modeling; Computational efficiency; Filters; Humans; Image databases; Mechatronics; Object detection; Testing; Wavelet transforms; Active contour; Detection; Image processing; Machine vision; Model-based; Resolution reduction; Tracking; Wavelet transform;
Conference_Titel :
Mechatronics and its Applications, 2009. ISMA '09. 6th International Symposium on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4244-3480-0
Electronic_ISBN :
978-1-4244-3481-7
DOI :
10.1109/ISMA.2009.5164805