Abstract | ||
---|---|---|
We have created a real-time evolutionary object recognition system. Genetic Programming is used to automatically search the space of possible computer vision programs guided through user interaction. The user selects the object to be extracted with the mouse pointer and follows it over multiple frames of a video sequence. Several different alternative algorithms are evaluated in the background for each input image. Real-time performance is achieved through the use of the GPU for image processing operations. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1007/978-3-642-01181-8_23 | EuroGP |
Keywords | Field | DocType |
multiple frame,genetic programming,image processing operation,mouse pointer,real-time evolutionary object recognition,input image,user interaction,different alternative algorithm,real-time performance,possible computer vision program,image processing,object recognition,real time,computer vision | Computer vision,3D single-object recognition,Computer graphics (images),Method,Computer science,Pointer (user interface),Image processing,Theoretical computer science,Genetic programming,Artificial intelligence,Genetic program,Cognitive neuroscience of visual object recognition | Conference |
Volume | ISSN | Citations |
5481 | 0302-9743 | 7 |
PageRank | References | Authors |
0.49 | 12 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Marc Ebner | 1 | 205 | 19.59 |