Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hardware acceleration of graphics and imaging algorithms using FPGAs
SCCG '02 Proceedings of the 18th spring conference on Computer graphics
Non-parametric Model for Background Subtraction
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
W4: Who? When? Where? What? A Real Time System for Detecting and Tracking People
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
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We describe "GW4," an efficient video segmentation algorithm designed for FPGA implementation. The algorithm detects moving foreground objects against a multimodal background; it is motivated by two well-known adaptive background differencing algorithms, Grimson's algorithm and W4. GW4 is designed specifically for implementation on reconfigurable FPGA hardware, avoiding the use of floating point numbers and transcendental operations, and operates at real-time frame rates on 640×480 video streams. We present experimental results indicating processing speeds, and superior segmentation performance to Grimson's algorithm.