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Direction Estimation of Pedestrian from Images

The capability of estimating the walking direction of people would be useful in many applications such as those involving autonomous cars and robots.We introduce an approach for estimating the walking direction of people from images, based on learning the correct classification of a still image by using SVMs. We find that the performance of the system can be improved by classifying each image of a walking sequence and combining the outputs of the classifier.Experiments were performed to evaluate our system and estimate the trade-off between number of images in walking sequences and performance.

Identiferoai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/30397
Date27 August 2003
CreatorsShimizu, Hiroaki, Poggio, Tomaso
Source SetsM.I.T. Theses and Dissertation
Languageen_US
Detected LanguageEnglish
Format11 p., 12026063 bytes, 489901 bytes, application/postscript, application/pdf
RelationMassachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory

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