http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Cascade Method Pedestrian Recognition using Haar-like features based on Adaboost Algorithm
Yeunghak Lee,Taesun Kim,Misoon Choi,Jooyoung Ko,Jaechang Shim,Sanghunn Yoon,Taemoon Rho 한국멀티미디어학회 2010 한국멀티미디어학회 국제학술대회 Vol.2010 No.-
We integrate the cascade method approach with Haar-like features to achieve accurate pedestrian recognition system, which is applied Adaboost algorithm to make a strong classification. The features used in our system are basic Haar-like features which includes horizontal and vertical characteristic. In the proposed method, we use one feature vector and one strong classification for the first stage of recognition. For the recognition-failed image, the other feature and strong classification will be used for the second stage of recognition. Experiment results on two common datasets and the proposed algorithm shows higher recognition rate compared to the previous methods.