Hue Histograms to Spatiotemporal Local Features for Action Recognition

Computer Science – Computer Vision and Pattern Recognition

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Despite the recent developments in spatiotemporal local features for action recognition in video sequences, local color information has so far been ignored. However, color has been proved an important element to the success of automated recognition of objects and scenes. In this paper we extend the space-time interest point descriptor STIP to take into account the color information on the features' neighborhood. We compare the performance of our color-aware version of STIP (which we have called HueSTIP) with the original one.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Hue Histograms to Spatiotemporal Local Features for Action Recognition does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Hue Histograms to Spatiotemporal Local Features for Action Recognition, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Hue Histograms to Spatiotemporal Local Features for Action Recognition will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-183183

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.