BOOK-CHAPTER

Compressed-Domain Video Object Tracking Using Markov Random Fields with Graph Cuts Optimization

Fernando BombardelliSerhan GülCornelius Hellge

Year: 2019 Lecture notes in computer science Pages: 127-139   Publisher: Springer Science+Business Media
Keywords:
Computer science Markov random field Bitstream Artificial intelligence Cut Segmentation Computer vision Video tracking Markov chain Pixel Coding (social sciences) Graph Frame (networking) Domain (mathematical analysis) Algorithm Image segmentation Object (grammar) Theoretical computer science Mathematics Decoding methods Machine learning

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Citation History

Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
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