Cited By
View all- Shen XSui XPan KTao Y(2018)Adaptive pedestrian tracking via patch-based features and spatial-temporal similarity measurementPattern Recognition10.1016/j.patcog.2015.11.01753:C(163-173)Online publication date: 30-Dec-2018
A New Shadow Removal Algorithm Based on Susan and CIELAB Color Space
Pages 222 - 225
Abstract
For on-road vehicle detection, the self-shadow of vehicle is a great disturbance of accurate detection. Consequently, the detection and removal of vehicle shadow is a primary task for video vehicle detection. For the present shadow removal algorithms which based on different color spaces, miss detection will happen while dealing with the vehicles having the similar color with their shadows. So that, in this paper a new scheme based on CIELAB color space is given and by this way, the limitation to the faint color is overcome by its inherent sensitive to the luminance. At the same time, the shadow removal can be optimized by using Susan operator, which based on the distinguished texture feature between the vehicle and its shadow. The experiments showed that it has robust performance for the vehicles with different colors, especially black ones, which can achieve a higher detection ratio compared with other methods.
References
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Index Terms
- A New Shadow Removal Algorithm Based on Susan and CIELAB Color Space
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Information
Published In
July 2014
430 pages
ISBN:9781450328104
DOI:10.1145/2632856
- General Chairs:
- Hanzi Wang,
- Larry Davis,
- Program Chairs:
- Wenwu Zhu,
- Stephan Kopf,
- Yanyun Qu,
- Publications Chairs:
- Jun Yu,
- Jitao Sang,
- Tao Mei
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In-Cooperation
- NSF of China: National Natural Science Foundation of China
- Beijing ACM SIGMM Chapter
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 July 2014
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ICIMCS '14
ICIMCS '14: International Conference on Internet Multimedia Computing and Service
July 10 - 12, 2014
Xiamen, China
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Overall Acceptance Rate 163 of 456 submissions, 36%
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Cited By
View all- Shen XSui XPan KTao Y(2018)Adaptive pedestrian tracking via patch-based features and spatial-temporal similarity measurementPattern Recognition10.1016/j.patcog.2015.11.01753:C(163-173)Online publication date: 30-Dec-2018
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