A Multi-Feature Part-Based Object Detection System October 9, 2007
Google Tech Talks
May 25, 2007
ABSTRACT
I will start with an overview on object recognition systems which use local features and analyze their strengths and weaknesses. I will then present a general purpose part-based object detection system which we evaluated on a benchmark pedestrian detection data set . In a first step, the system computes feature maps from the training images. It then randomly extracts a large number of rectangular parts from the feature maps and clusters the parts based on their feature similarity and their x-y-location in the feature maps. The cluster centers build an initial set of part templates from which the system selects a subset using the gentle-boost algorithm. The...
Favorite:
0
0