Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
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CAMP '05 Proceedings of the Seventh International Workshop on Computer Architecture for Machine Perception
Σ-Δ background subtraction and the Zipf law
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This article introduces a new hierarchical version of a set of motion detection algorithms called Sigma;Delta;. These new algorithms are designed to preserve as much as possible the computational efficiency of the basic ΣΔ estimation, in order to target real-time implementation for low power consumption processors and embedded systems.