IEEE Transactions on Pattern Analysis and Machine Intelligence, April 2012, pp. 743–761

Pedestrian Detection: An Evaluation of the State of the Art

by Piotr Dollar, Christian Wojek, Bernt Schiele, and Pietro Perona

Pedestrian detection is a key problem in computer vision, with several applications that have the potential to positively impact quality of life. In recent years, the number of approaches to detecting pedestrians in monocular images has grown steadily. However, multiple data sets and widely varying evaluation protocols are used, making direct comparisons difficult. To address these shortcomings, we perform an extensive evaluation of the state of the art in a unified framework. READ FULL ARTICLE (login required) »

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