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 - Softcover

Basavaiah, Manjunath

Softcover

ISBN 10: 3848437422 ISBN 13: 9783848437429

Publisher: LAP LAMBERT Academic Publishing, 2012

Synopsis

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.

About this title

About the Author

Manjunath Basavaiah received his U.G. degree B.E. inElectronics and Communication Engineering fromGlobal Academy of Technology, Bangalore & P.G.degree M.Sc [Engg] in Real Time Embedded Systemsfrom Coventry University (U.K), MSRSAS, Bangalore in2011. His research area includes Embedded SystemDesign, Control System, Signal & Image Processing

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2012
• Language: English
• ISBN 10: 3848437422
• ISBN 13: 9783848437429
• Binding: Paperback
• Number of pages: 112