Layered Object Detection for Multi-Class Segmentation

author: Sam Hallman, Department of Computer Science, University of California, Irvine
published: July 19, 2010,   recorded: June 2010,   views: 6493


Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


We formulate a layered model for object detection and multi-class segmentation. Our system uses the output of a bank of object detectors in order to define shape priors for support masks and then estimates appearance, depth ordering and labeling of pixels in the image. We train our system on the PASCAL segmentation challenge dataset and show good test results with state of the art performance in several categories including segmenting humans.

See Also:

Download slides icon Download slides: cvpr2010_hallman_lodm_01.ppt (10.6 MB)

Download article icon Download article: cvpr2010_hallman_lodm_01.pdf (6.9 MB)

Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Reviews and comments:

Comment1 tom chen, July 22, 2010 at 2:25 a.m.:

Sam seems much more intelligent than his dad.

Write your own review or comment:

make sure you have javascript enabled or clear this field: