In the technology of Advanced Safety Vehicle(ASV), it is important elements to detect pedestrians. There is a technique which used image features and a classifier for pedestrian detection. However, pedestrians have pose variations, such as a rotation. That's why we cannot always get the same features. In order to solve this problem, we can use a way which used the rotation-invariant HOG, but this method needs very high costs because it's not optimized for pedestrian detection. Therefore, we improved calculating method of the rotation-invariant HOG for pedestrian detection and compared this proposed method with the conventional method. As a result, recognition rate was turned from 53.75% to 71.7%.


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    Title :

    Optimization of rotation-invariant feature detection method for pedestrian recognition


    Contributors:


    Publication date :

    2015-11-01


    Size :

    453469 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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