Duncan, Jeremy Bruce (2010) USB camera pedestrian counting. [USQ Project]
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Abstract
[Abstract]: The aim of this project was to implement a pedestrian counting system using a PC and USB Camera as the primary hardware. The software developed will not be ready
for complete deployment due to time limitations and requires further development before it is reliable and accurate enough to be used for pedestrian counting. However, the object motion detector has been fully developed and is ready to be incorporated into future projects and currently runs at 26 frames per second.
The current program captures frames in real time from a USB camera. A motion image is created using an approximate median filter. A motion image is then generated using differencing. Moving objects are clustered using a region growing algorithm. These motion objects are then displayed on screen. Tracking at this stage consists of simple size and position matching combined with aging of the objects to
increment a pedestrian counter.
Further development of the project will involve enhanced tracking methods such as region splitting, active model fitting, velocity and position estimates using predictor
correctors and shadow removal. Difference image averaging should be applied to improve the results and robustness of the motion detector which is currently noisy. Other improvements would be the transition of the program to a C language to improve speed along with multithreading, greater camera control and enhanced statistics reporting.
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Statistics for this ePrint Item |
| Item Type: | USQ Project |
|---|---|
| Refereed: | No |
| Item Status: | Live Archive |
| Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013) |
| Supervisors: | Billingsley, John |
| Date Deposited: | 25 Feb 2011 04:39 |
| Last Modified: | 03 Jul 2013 00:30 |
| Uncontrolled Keywords: | camera; USB camera; pedestrian; movement tracking; motion study; photography |
| Fields of Research (2008): | 09 Engineering > 0905 Civil Engineering > 090599 Civil Engineering not elsewhere classified 09 Engineering > 0913 Mechanical Engineering > 091302 Automation and Control Engineering |
| Fields of Research (2020): | 40 ENGINEERING > 4005 Civil engineering > 400599 Civil engineering not elsewhere classified 40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400799 Control engineering, mechatronics and robotics not elsewhere classified |
| URI: | https://sear.unisq.edu.au/id/eprint/18444 |
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