Title :
A modified method of vehicle extraction based on background subtraction
Author :
Yang, Jingjing ; Dai, Yaping
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
Abstract :
A method combines Top-hat Transformation, Morphological Gradient and Background Subtraction is presented in this paper to solve the question of cast shadows and split of vehicle. The method adopts top-hat transformation both on input image and background image to remove the shadows and detect road lines respectively. Then morphological gradient is obtained by multiple structuring elements. The final modified background subtraction which performs on the binary images removes the road lines which impact the result much. Different from other methods, the proposed method eliminates the shadows and extracts the whole vehicle even if the color of the vehicle is similar to the road and the contour beside windshield is very weak. Experimental results prove that the method works well under different vehicle colors and sizes, comparing with the simple background subtraction and the background subtraction based on top-hat transformation. The error rate indicates the improvement.
Keywords :
feature extraction; gradient methods; object detection; traffic engineering computing; background subtraction; cast shadows; morphological gradient; road line detection; shadow removal; top-hat transformation; vehicle extraction; vehicle split; windshield; Error analysis; Gray-scale; Image color analysis; Image edge detection; Morphological operations; Roads; Vehicles; background subtraction; morphological gradient; shadow elimination; top-hat transformation; vehicle extraction;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1507-4
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZ-IEEE.2012.6251194