Abstract:
This paper presents an application for counting people through a single fixed camera. This system performs the count distinction between input and output of people moving...Show MoreMetadata
Abstract:
This paper presents an application for counting people through a single fixed camera. This system performs the count distinction between input and output of people moving through the supervised area. The counter requires two steps: detection and tracking. The detection is based on finding people's heads through preprocessed image correlation with several circular patterns. Tracking is made through the application of a Kalman filter to determine the trajectory of the candidates. Finally, the system updates the counters based on the direction of the trajectories. Different tests using a set of real video sequences taken from different indoor areas give results ranging between 87% and 98% accuracies depending on the volume of flow of people crossing the counting zone. Problematic situations, such as occlusions, people grouped in different ways, scene luminance changes, etc., were used to validate the performance of the system.
Published in: IEEE Transactions on Industrial Electronics ( Volume: 60, Issue: 9, September 2013)
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Head Tracking ,
- People Counter ,
- Kalman Filter ,
- Direct Trajectory ,
- Number Of People ,
- Background Image ,
- Optical Flow ,
- Size Pattern ,
- Background Model ,
- Preprocessing Stage ,
- Extent Of Occurrence ,
- Detection Stage ,
- Test Videos ,
- Robust Tracking ,
- Foreground Objects ,
- Detection Head ,
- Camera Orientation ,
- Temporal Error ,
- People Counting ,
- Update Phase ,
- People Tracking ,
- Pixel Variance ,
- Camera Height ,
- Error Covariance ,
- Personal Trajectories ,
- Partial Occlusion ,
- Maximum And Minimum ,
- Person Image ,
- False Positive
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Head Tracking ,
- People Counter ,
- Kalman Filter ,
- Direct Trajectory ,
- Number Of People ,
- Background Image ,
- Optical Flow ,
- Size Pattern ,
- Background Model ,
- Preprocessing Stage ,
- Extent Of Occurrence ,
- Detection Stage ,
- Test Videos ,
- Robust Tracking ,
- Foreground Objects ,
- Detection Head ,
- Camera Orientation ,
- Temporal Error ,
- People Counting ,
- Update Phase ,
- People Tracking ,
- Pixel Variance ,
- Camera Height ,
- Error Covariance ,
- Personal Trajectories ,
- Partial Occlusion ,
- Maximum And Minimum ,
- Person Image ,
- False Positive
- Author Keywords