Pedestrian Detection Using Structured SVM
نویسندگان
چکیده
With the advent of smart car and even driverless cars, the importance of intelligent driver’s system has been rapidly growing. Accordingly, driver’s vision has become one of the most popular issues and especially detecting some obstacles and pedestrians on the road are at the center of the vision problem in order to prevent accidents. Motivated by the importance of such topics, we implemented the human detector in the project. Our approach is based on Deformable Part Model[1], one of the most powerful method for object detection. In the learning part of the system, we applied Structured SVM (SSVM) instead of Latent SVM (LSVM) which is used in [1]. The major goal of this project is not only to understand how differnt types of SVM can work on the detection problem but also to apply SSVM on our pedestrian detection problem.
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