Publication Type:

Conference Paper

Source:

2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE), IEEE, Singapore, Singapore (2010)

URL:

https://ieeexplore.ieee.org/abstract/document/5451878

Keywords:

Application software, Computer errors, Computer vision, Edge detection, Edge information, edge-based method, image motion analysis, Image reconstruction, image sequences, interior edge image, Motion detection, moving cast shadow detection, Moving cast shadows, Object Detection, Object localization, Object recognition, Object Tracking, shadow detection, Shape, Target tracking, Testing, traffic sequences, Traffic surveillance, video sequence, Video sequences, Video surveillance

Abstract:

Tracking moving objects in video sequence is an important problem in computer vision, with applications in several fields, such as video surveillance and target tracking. As the shadows attached along with the moving object also have the same motion that of objects, the detection of shadows as foreground objects is very common and produce large errors in object localization and recognition. This paper introduces an effective method which uses the edge information to detect moving cast shadows for traffic sequences. The proposed method initially removes the boundary of the cast shadow, preserving object's interior edges. The coarse object shapes are then reconstructed using the object interior edges. Finally, the cast shadow is detected by subtracting the reconstructed moving object from the change detection mask. The method is implemented and tested using three benchmark videos. The efficiency of the proposed method is compared with five other popular shadow detection methods and the results proved its superiority over others.

Cite this Research Publication

Vinitha Panicker J and Wilscy, M., “Detection of moving cast shadows using edge information”, in 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE), Singapore, Singapore, 2010.