Homepage

Description

The Caltech Pedestrian Dataset consists of approximately 10 hours of 640x480 30Hz video taken from a vehicle driving through regular traffic in an urban environment. About 250,000 frames (in 137 approximately minute long segments) with a total of 350,000 bounding boxes and 2300 unique pedestrians were annotated. The annotation includes temporal correspondence between bounding boxes and detailed occlusion labels.Related publications:P. Dollr, C. Wojek, B. Schiele and P. Perona, Pedestrian Detection: A Benchmark, CVPR 2009, Miami, Florida (PDF)P. Dollr, C. Wojek, B. Schiele and P. Perona, Pedestrian Detection: An Evaluation of the State of the Art, PAMI 2012 (PDF)

Related Papers

• P. Dollár, C. Wojek, B. Schiele and P. Perona, Pedestrian Detection: An Evaluation of the State of the Art, PAMI 2012 (PDF) [link]
• P. Dollár, C. Wojek, B. Schiele and P. Perona, Pedestrian Detection: A Benchmark, CVPR 2009, Miami, Florida (PDF) [link]