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Human Detection in RGB Images

Human detection is a challenging classification problem which has many potential applications including monitoring pedestrian junctions, young children in school and old people in hospitals, and several security, surveillance and civilian applications. Various approaches have been proposed to solve this problem. We have studied and implemented a scheme using Histogram of Oriented Gradients (HOG), as part of CS273A Machine Learning coursework for Winter 2008 quarter. The results are encouraging and we intend to improve our implementation so as to integrate it with another ongoing project at UCI. The INRIA Person dataset [9] was used for training and testing the classifier.