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A Multi-Pedestrian Counting System Using Fusion of Stereo Camera and Laser Scanner

Award Information
Agency: Department of Transportation
Branch: N/A
Contract: DTRT57-09-C-10048
Agency Tracking Number: DTRT57-09-C-10048
Amount: $99,999.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 091FH4
Solicitation Number: DTRT5709RSBIR1
Solicitation Year: 2009
Award Year: 2009
Award Start Date (Proposal Award Date): 2009-08-21
Award End Date (Contract End Date): 2010-08-20
Small Business Information
1600 Providence Highway, Walpole, MA, 02081
DUNS: 125933916
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Bo Ling
 President & CEO
 (508) 660-0328
Business Contact
 Bo Ling
Title: President & CEO
Phone: (508) 660-0328
Research Institution

Automated vehicle counting technology has been in use for many years, but developments in automated pedestrian counting technology have been limited.  Pedestrians are more difficult to detect, track and count, than motor vehicles because their paths are much less constrained.  In Phae I, we propose to develop a new system for pedestrian detection, tracking and counting.  In this system, both IR LED stereo camera and laser scanner are selected for use.  Although the stereo camera is excellent in detecting pedestrians through 3D human body concave feature extracted from the disparity map, it is less effective in separating pedestrians walking in a group.  To overcome this problem, we propose to use a high resolution laser scanner and develop a set of transformations to map the pedestrian coordinates onto the disparity map in the camera coordinate system.  In our system, each pedestrian will be assigned with a unique track, which will be estimated using both feature matching and kinematic motion.  A new data association method is proposed, which is effective for extremely small size of samples common in pedestrian tracking applications at street intersections.  Our system can be deployed at any street intersection for reliable pedestrian detection, tracking and counting.

* Information listed above is at the time of submission. *

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