Real-time DSP implementation for MRF-based video motion detection

Real-time DSP implementation for MRF-based video motion detection

This paper describes the real time implementation of a simple and robust motion detection algorithm based on Markov random field (MRF) modeling, MRF-based algorithms often require a significant amount of computations. The intrinsic parallel property of MRF modeling has led most of implementations toward parallel machines and neural networks, but none of these approaches offers an efficient solu...

A Cellular Analog Network for MRF-based Video Motion Detection

Generic Programming Methods for the Real Time Implementation of a MRF Based Motion Detection Algorithm on a multi-processor DSP with multidimensional DMA

This paper addresses 2 problems. First, we emphasize the need for generic programming methods for the real time (RT) implementation of complex low level image processing algorithms on parallel DSPs featuring multi-processing and ILP (Instruction Level Parallelism) and multidimensional DMA. Second, we show the need for a RT implementation of a motion detection algorithm on hardware platforms sui...

Real-Time Video Dehazing Based on Spatio-Temporal MRF

Multiprocessor implementation of real-time DSP algorithms

In this paper, we consider multiprocessor implementation of real-time recursive digital signal processing algorithms. The objective is to devise a periodic schedule, and a fully static task assignment scheme to meet the desired throughput rate while minimizing the number of processors. Toward this goal, we propose a notion called cutofs time. We prove that the minimumprocessor schedule can be f...