Optical Flow Based Moving Object Detection and Tracking System : Development of Optical Flow Based Moving Object Detection and Tracking System on an Embedded DSP Processor

Language: English

Published by LAP Lambert Academic Publishing, 2012

3848437422 / 9783848437429

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nach der Bestellung gedruckt Neuware - Printed after ordering - Moving object detection in digital image sequence involves identification of the presence of an object in consecutive frames where as object tracking is used to monitor the movements with respect to the region of interest. In this project, the motion estimation is obtained using Optical Flow. Optical Flow is the distribution of apparent velocities of movement of brightness patterns in an image. Lucas-Kanade algorithm with Sobel, Horn and Guassian smoothing techniques is used in this work for computation of Optical Flow vectors. Single and multiple object movements with respect to the computed vectors are segmented using thresholding. The extracted movements are tracked using edge and centroid information. Suitable image enhancement techniques are applied to the segmented results to avoid the unwanted information present in the image. Real and virtual image data with static and dynamic environment are used as test sequences to validate the developed algorithms. The tracking performance, in terms of their accuracy and computation time, of the different algorithms with and without image pyramid is analysed and compared in MATLAB & C on Intel Core2 Duo processor on Linux environment.

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Title
Optical Flow Based Moving Object Detection and Tracking System : Development of Optical Flow Based Moving Object Detection and Tracking System on an Embedded DSP Processor
Author
Manjunath Basavaiah
Publisher
LAP Lambert Academic Publishing
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3848437422
ISBN 13
9783848437429
Item weight
183 grams
Dimensions
220x176x33 mm

AHA-BUCH GmbH

Einbeck, Germany

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