Back to Results
First PageMeta Content
Artificial intelligence / Image processing / Face recognition / Face detection / Visual search / Connected-component labeling / Binary large object / Optical flow / Blob detection / Computer vision / Vision / Imaging


2010 Canadian Conference Computer and Robot Vision A computer vision system for analyzing and interpreting the cephalo-ocular behavior of drivers in a simulated driving context S. Metari1 , F. Prel1 , T. Moszkowicz1
Add to Reading List

Document Date: 2010-09-16 01:30:11

Open Document

File Size: 1,99 MB

Share Result on Facebook

City

Kernel / /

Company

Neural Information Processing Systems / /

Country

Canada / /

Currency

USD / /

/

Facility

OpenCV library / Computer Science The University of Western Ontario London / /

IndustryTerm

non-iterative greedy algorithm / car overtaking / main processing steps / visual search action / virtual vehicle car / possible solution / mock-up car / eyes detection algorithm / visual search actions / /

MarketIndex

set 2500 / set 500 / /

Organization

University of Western Ontario London / Pattern Analysis and Machine Intelligence / /

Person

Lucas Kanade / D. Comaniciu / V / /

Position

driver / hierarchical part-based model for visual object categorization / sparse object category model for efficient learning and exhaustive recognition / head / /

ProvinceOrState

Ontario / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / /

Region

Western Ontario / /

Technology

following algorithm / eyes detection algorithm / classical Lucas-Kanade algorithm / OpenCV algorithm / machine learning / Image Processing / LK algorithm / non-iterative greedy algorithm / /

SocialTag