23  Counting & Tracking


About1 Introduction2 Image Recognition3 TransApplet4 API5 Interface6 Input7 Image Display8 Preprocessing9 Processing10 Normalization11 Parameter Class12 Image Signatures13 Unsupervised Filters14 BioFilters15 NeuralFilters16 Dynamic Library17 NeuralNet Filter18 Parameters19 Input Options20 Database Input21 Video Input22  Live Video Input23  Counting & Tracking24  Counting 25  Batch Job26 ImageFinder for DOS27 ImageHunt 28 Support Packages

23.1  Data 
23.2  Left Image 
23.3 Right Image 
23.4 Automatic Tracking 
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23.   Counting & Tracking Design

‘Counting’ counts the number of objects in an image, assuming there is no overlap between objects. If you need to count objects, which are NOT physically separated, then you need a customized version. ‘Tracking’ finds the most obvious object in an image and tracks it from image frame to image frame.

In this chapter, we will show the counting design. In the next chapter, we will show counting implementation.



[Home][About][1 Introduction][2 Image Recognition][3 TransApplet][4 API][5 Interface][6 Input][7 Image Display][8 Preprocessing][9 Processing][10 Normalization][11 Parameter Class][12 Image Signatures][13 Unsupervised Filters][14 BioFilters][15 NeuralFilters][16 Dynamic Library][17 NeuralNet Filter][18 Parameters][19 Input Options][20 Database Input][21 Video Input][22 Live Video Input][23 Counting & Tracking][24 Counting ][25 Batch Job][26 ImageFinder for DOS][27 ImageHunt ][28 Support Packages]

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