Motion Estimation Using More Than Two Images

Shariat, Hormoz; Price, Keith

doi:10.1007/978-1-4613-1071-6_5

Cited by 6 publications

(1 citation statement)

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“…Motion analysis was done on the centroids of the regions after correspondence was established over more than two frames. In their system, the type of motion was classified using an error measure based on the hypothesis that the motion is pure translation [20]. Subsequent steps in their analysis refine this guess using a hierarchical generate and test scheme.…”

Section: Neural Systems For Motion Analysismentioning

confidence: 99%

Soft Computing Techniques for Various Image Processing Applications: A Survey

Kher¹,

Kher²

2020

JEEE

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Soft computing techniques have found numerous applications in various domains of image processing and computer vision. This paper represents a survey on various soft computing methods'-fuzzy logic, neural network, neuro-fuzzy systems, genetic algorithm, evolutionary computing, support vector machine etc.-applications in various image processing areas. There are numerous applications of SC ranging from industrial automation to agriculture and from medical imaging to aerospace engineering, but this paper deals with the relevance and feasibility of soft computing tools in the area of image processing, analysis and recognition. The techniques of image processing stem from two principal applications namely, improvement of pictorial information for human interpretation and processing of scene data for automatic machine perception. The different tasks involved in the process include enhancement, filtering, noise reduction, segmentation, contour extraction, skeleton extraction etc. Their ultimate aim is to make understanding, recognition and interpretation of the images from the processed information available from the image pattern. There are many hybridized approaches like neuro-fuzzy system (NFS), fuzzy-neural network (FNN), genetic-fuzzy systems, neuro-genetic systems, neuro-fuzzy-genetic system exist for various image processing applications. Tools like genetic algorithms (GAs), simulated annealing (SA), and tabu search (TS) etc. have been incorporated with soft computing tools for applications involving optimization.

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Section: Neural Systems For Motion Analysismentioning

confidence: 99%