Detecting and Analyzing Multiple Moving Objects in a Crowd
11-G00265_ID2135.pdf (621 KB)
Sample multi-object detection results from the algorithm: The red number indicates the aggregate count of independently moving objects detected.
•Overcomes some of the difficulties in detecting individual objects that move in unison
•Requires no complex shape or appearance models to select objectsApplications and Industries• Detecting and counting any type of moving object
• Estimating crowd size for event management and planning
• Support for analyses requiring counts of moving objects, such as in medical analysis
• Security and surveillanceMore InformationAnil M. Cheriyadat. Detecting Multiple Moving Objects in Crowded Environments with Coherent Motion Regions, U.S. Patent Application 12/489,589, filed June 23, 2009.Patents and Patent Applications
|Title and Abstract||
Detecting multiple moving objects in crowded environments with coherent motion regions
Coherent motion regions extend in time as well as space, enforcing consistency in detected objects over long time periods and making the algorithm robust to noisy or short point tracks. As a result of enforcing the constraint that selected coherent motion regions contain disjoint sets of tracks defined in a three-dimensional space including a time dimension. An algorithm operates directly on raw, unconditioned low-level feature point tracks, and minimizes a global measure of the coherent motion regions. At least one discrete moving object is identified in a time series of video images based on the trajectory similarity factors, which is a measure of a maximum distance between a pair of feature point tracks.
|Oak Ridge National Laboratory||06/11/2013
|Technology ID||Development Stage||Availability||Published||Last Updated|
|UT-B ID 200802135||Development||Available||11/21/2011||10/27/2011|