Abstract
Considerable progress has been made on hand-crafted features in object detection, while little effort has been devoted to make use of the color cues. In this paper, we study the role of color cues in detection via a representative object, i.e., pedestrian, as its variaility of pose or appearance is very common for “general” objects. The efficiency of color space is first ranked by empirical comparisons among typical ones. Furthermore, a color descriptor, called MDST (Max DisSimilarity of different Templates), is built on those selected color spaces to explore invariant ability and discriminative power of color cues. The extensive experiments reveal two facts: one is that the choice of color spaces has a great influence on performance; another is that MDST achieves better results than the state-of-the-art color feature for pedestrian detection in terms of both accuracy and speed.
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Notes
- 1.
During histogram calculation, trilinear interpolation is applied to avoid quantization effects.
- 2.
In our experiment, we use a 3x3-cell to be the calculation unit as the oblique line indicates.
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Acknowledgements
This work was supported in part by National Basic Research Program of China (973 Program): 2009CB320906, in part by National Natural Science Foundation of China: 61025011, 61035001 and 61003165, and in part by Beijing Natural Science Foundation: 4111003.
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Wang, Q., Pang, J., Qin, L., Jiang, S., Huang, Q. (2013). Justifying the Importance of Color Cues in Object Detection: A Case Study on Pedestrian. In: The Era of Interactive Media. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3501-3_32
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DOI: https://doi.org/10.1007/978-1-4614-3501-3_32
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