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7-m - An Application Object Tracking How to track this...

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2 An Application: Object Tracking How to track this object against this background pattern/noise?
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3 Image Subtraction Bright point where object is in second frame Dark point where object was in first frame Then keep only pixels brighter than some threshold value.
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4 My Problem to Solve I needed to do this subtraction and thresholding with active videocamera – 30 frames per second = 33 ms per frame My C++ code took 54 ms to do this: // Subtract background and threshold result simultaneously for (LoopIndex = 0; LoopIndex < ImageSize; LoopIndex++) { if ((*ForegroundImage > *BackgroundImage) && ((*ForegroundImage – *BackgroundImage) > Threshold)) { *DataNext++ = LoopIndex; } }
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5 Solution: Re-write loop in assembly ; C declaration for this routine is: ; void SubThreshLoop(pixel Threshold, image_index ImageSize, image_index* DataNext, pixel* ForegroundImage, pixel* BackgroundImage); ; With register calling convention, variables arrive as follows ; Threshold: AL (EAX) ; Image_Size: EDX ; DataNext: EBX ; ForegroundImage: ECX ; BackgroundImage: [ESP+4] ([ESP+16] after pushes) .586 .model small
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