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.
Product Identifiers
Publisher
Lap Lambert Academic Publishing
ISBN-13
9783848437429
eBay Product ID (ePID)
114123188
Product Key Features
Author
Manjunath Basavaiah
Publication Name
Optical Flow Based Moving Object Detection and Tracking System
Format
Paperback
Language
English
Subject
Engineering & Technology
Publication Year
2012
Type
Textbook
Number of Pages
112 Pages
Dimensions
Item Height
229mm
Item Width
152mm
Item Weight
177g
Additional Product Features
Title_Author
Manjunath Basavaiah
Country/Region of Manufacture
Germany
Best Selling in Textbooks
Current slide {CURRENT_SLIDE} of {TOTAL_SLIDES}- Best Selling in Textbooks