K-means based segmentation for real-time zenithal people counting
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Local empirical templates and density ratios for people counting
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Segmentation of Pedestrians with Confidence Level Computation
Journal of Signal Processing Systems
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A novel real-time people counting system is presented in this paper. Using a single overhead mounted camera, the system counts the number of people going in and out of an observed area. Counting is performed by analyzing an image zone composed by a set of virtual counting lines. The system runs on a commercial PC, does not need a special background and is easily adjustable to different camera height requirements. We have tested the performance of the system, achieving a correct people counting rate of 95%.