DocumentCode :
518146
Title :
Shape-based recognition and classification for common objects - an application in video scene analysis
Author :
Ku, Zhi Kai ; Ng, Chee Fei ; Khor, Siak Wang
Author_Institution :
Fac. of Inf. & Commun. Technol., Univ. Tunku Abdul Rahman, Petaling Jaya, Malaysia
Volume :
3
fYear :
2010
fDate :
16-18 April 2010
Abstract :
In this paper, a new system that can recognize and classify the common objects found in a video scene into four object classes, which are four legs animal, vehicle, human, and others object classes, is presented. To classify the objects, the shape features of the objects are extracted from the input images of objects in binary silhouette form. Then, the features are applied to the classification algorithm, which consists of two descriptive ratio tests and one shape test to classify the objects into different categories. Firstly, Width to Height Ratio test (WTHR) is used to differentiate between two groups of objects, four legs animal and vehicle in one group, human and others objects in another group. Subsequently, Base to Abdomen Ratio test (BTAR) is used to differentiate between animal and vehicle objects while Shape Boundary Test (SBT) is used to differentiate the human object from others objects. The proposed system is tested with different dataset containing the common objects listed in above with different pose and position, to check for the system performance and system accuracy. 73.33% accuracy is achieved for Animal object class, 86.67% accuracy for Vehicle object class, 93.33% accuracy for Human object class, and 86.67% accuracy for others object class. An overall recognition rate of approximately 86.67% is achieved.
Keywords :
object recognition; shape recognition; base to abdomen ratio test; binary silhouette form; shape based recognition; shape boundary test; video scene analysis; width to height ratio test; Abdomen; Animals; Classification algorithms; Humans; Image analysis; Layout; Leg; Shape; Testing; Vehicles; object classification; object recognition; shape features; surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
Type :
conf
DOI :
10.1109/ICCET.2010.5485747
Filename :
5485747
Link To Document :
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