A Trainable System for Object Detection in Images and Video Sequences
This thesis presents a general, trainable system for object detection in static images and video sequences. The core system finds a certain class of objects in static images of completely unconstrained, cluttered scenes without using motion, tracking, or handcrafted models and without making a...
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| Language: | en_US |
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2004
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| Online Access: | http://hdl.handle.net/1721.1/5566 |