Wavelet Based Detection, Modified Pipeline Algorithm for Multiple Point Targets Tracking In Infrared Image Sequences

A wavelet based technique for multiple point targets detection in InfraRed image sequences in presence of clutter is proposed. Most existing approaches assume target of several pixels size or of Gaussian shape with variance of 1.5 pixel. We develop detection and tracking algorithm for single pixel targets. We also propose a modified pipeline algorithm for tracking multiple single pixel targets with large motion ( pixels) in an Infrared image with occlusion due to IR clouds and background noise.

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