Abstract
We present a robust real-time face tracking system based on the Constrained Local Models framework by adopting the novel regression-based Discriminative Response Map Fitting (DRMF) method. By exploiting the algorithm's potential parallelism, we present a hybrid CPU-GPU implementation capable of achieving real-time performance at 30 to 45 FPS, on ordinary consumer-grade computers. We have made the software publicly available for research purposes.
Original language | Undefined |
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Title of host publication | Proceedings of the 5th ACM Multimedia Systems Conference, MMSys 2014 |
Place of Publication | New York |
Publisher | Association for Computing Machinery |
Pages | 148-151 |
Number of pages | 4 |
ISBN (Print) | 978-1-4503-2705-3 |
DOIs | |
Publication status | Published - Mar 2014 |
Event | 5th ACM Multimedia Systems Conference, MMSys 2014 - Singapore, Singapore Duration: 19 Mar 2014 → 21 Mar 2014 Conference number: 5 |
Publication series
Name | |
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Publisher | ACM |
Conference
Conference | 5th ACM Multimedia Systems Conference, MMSys 2014 |
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Abbreviated title | MMSys |
Country/Territory | Singapore |
City | Singapore |
Period | 19/03/14 → 21/03/14 |
Keywords
- HMI-HF: Human Factors
- EWI-25822
- HOG
- Face Tracking
- METIS-309948
- CUDA
- Constrained Local Model
- IR-95229
- SVM