Abstract | ||
---|---|---|
•The fGMM is mathematically derived to eliminate the floating-point calculations.•A division simulation algorithm is proposed to replace the division operations.•The fGMM is implemented in FPGA to process HD videos in real-time. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1016/j.cviu.2015.09.006 | Computer Vision and Image Understanding |
Keywords | Field | DocType |
Surveillance video,Video coding,Analysis-friendly,Background modeling,Fixed-point Gaussian Mixture Model | Computer science,Smart camera,Real-time computing,Coding (social sciences),Artificial intelligence,Codec,System bus,Computer vision,Object detection,Parametric model,Field-programmable gate array,Mixture model,Machine learning | Journal |
Volume | Issue | ISSN |
142 | C | 1077-3142 |
Citations | PageRank | References |
4 | 0.39 | 28 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wei Chen | 1 | 5 | 0.73 |
Yonghong Tian | 2 | 1057 | 102.81 |
Yaowei Wang | 3 | 134 | 29.62 |
Tiejun Huang | 4 | 1281 | 120.48 |