Hierarchical method for the detection of moving objects in a sequence of images

Wei Xiong; Christine Graffigne

doi:10.1117/12.216366

11 August 1995 Hierarchical method for the detection of moving objects in a sequence of images

Wei Xiong, Christine Graffigne

Proceedings Volume 2568, Neural, Morphological, and Stochastic Methods in Image and Signal Processing; (1995) https://doi.org/10.1117/12.216366
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

In this paper, a hierarchical version of the segmentation of motion with Markov field is used in order to detect moving objects in two successive images. We use the same hierarchical method which guarantees convergence for the initialization of the sequence of images and for the iterations between successive images. The model we present here is composed of two main parts, one is defined at label scale, meaning at the scale at which we want to estimate the final segmentation, and the other one on regions. These two terms are optimized alternatively, each of them by using relaxation method of type iterated conditional modes.

Citation Download Citation

Wei Xiong and Christine Graffigne "Hierarchical method for the detection of moving objects in a sequence of images", Proc. SPIE 2568, Neural, Morphological, and Stochastic Methods in Image and Signal Processing, (11 August 1995); https://doi.org/10.1117/12.216366

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