Fast Human Detection Using a Cascade of United Hogs

Abstract

Accurate and efficient human detection has become an important area for research in computer vision. In order to solve problems in the past human detection algorithms such as features with fixed sizes, fixed positions and fixed number, we propose the human detection based on united Hogs algorithm. Through intersection tests and feature integration, the algorithm can dynamically generate the features closer to human body contours. Basically maintaining the detection speed, the detection accuracy is improved by our algorithm.