People tracking in surveillance applications
نویسندگان
چکیده
This paper presents a real-time algorithm that allows robust tracking of multiple objects in complex environments. Foreground pixels are detected using luminance contrast and grouped into blobs. Blobs from two consecutive frames are matched creating the matching matrices. Tracking is performed using direct and inverse matching matrices. This method successfully solves blobs merging and splitting. Results from indoor and outdoor scenarios are shown.
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عنوان ژورنال:
- Image Vision Comput.
دوره 24 شماره
صفحات -
تاریخ انتشار 2006