Cited By
View all- Ragesh NRajesh R(2019)Pedestrian Detection in Automotive Safety: Understanding State-of-the-ArtIEEE Access10.1109/ACCESS.2019.29099927(47864-47890)Online publication date: 2019
The purpose of this paper is to detect pedestrians from images. This paper proposes a method for extracting feature descriptors consisting of co-occurrence histograms of oriented gradients (CoHOG). Including co-occurrence with various positional offsets,...
Co-occurrence Histograms of Oriented Gradients(CoHOG) has succeeded in describing the detailed shape of the object by using a co-occurrence of features. However, unlike HOG, it does not consider the difference of gradient magnitude between the ...
Pedestrian detection plays an important role in many applications. Since its birth 13 years ago, Histogram Of Gradient (HOG) descriptor has become a popular descriptor for pedestrian detection. Besides its original instantiation, the HOG also ...
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