مشخصات پژوهش

عنوان	Multiple Human Detection in Images Based on Differential Evolution and HOG-LBP
نوع پژوهش	مقاله ارائه شده کنفرانسی
کلیدواژه‌ها	Human detection; DE algorithm; HOGLBP feature; support vector machine.
چکیده	In this paper a method for multiple human detection in the image has been presented. This method uses differential evolution (DE) algorithm to improve window position detection speed and HOG-LBP algorithm for feature extraction. Fitness function for DE algorithm is SVM and in the final state, a postprocessing on detected windows by DE algorithm is performed. This method has been tested on INRIA datasets and its precision for detecting humans in the image is 92% which is better than state of the art methods
پژوهشگران	زهره احمدی پور (نفر اول)، مه لقا افراسیابی (نفر دوم)، حسن ختن لو (نفر سوم)