2014 Real time project Dot net !!!!! "Motion Detection"

"our approximation yields considerable speedups with negligible loss in detection
accuracy. We modify three diverse visual recognition systems to use fast feature
pyramids and show results on both pedestrian detection (measured on the Caltech,
INRIA, TUD-Brussels and ETH data sets) and general object detection (measured
on the PASCAL VOC).
The approach is general and is widely applicable to vision algorithms requiring
fine-grained multi-scale analysis. Our approximation is valid for images with
broad spectra (most natural images) and fails for images with narrow band-pass
spectra"www.fu-vision .com
www.fu- craft.com
www.fu-vision animedia.com
contact for more information: 9003206648