Best-shot selection for video face recognition using FPGA

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5197 LNCS, Issue , 2008, Pages 543-550

  Chang, Leonardo ^a   Rodés, Ivis ^a   Méndez, Heydi ^a   Del Toro, Ernesto ^b  

^a ADVANCED TECHNOLOGIES APPLICATION CENTER   (Cuba)

^b INSTITUTO SUPERIOR POLITÉCNICO JOSÉ ANTONIO ECHEVERRÍA   (Cuba)

Author keywords

Best shot selection; FPGA; Video face recognition

Indexed keywords

DIGITAL IMAGE STORAGE; FEATURE EXTRACTION; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGING SYSTEMS; PATTERN RECOGNITION; SECURITY SYSTEMS;

AMOUNT OF INFORMATIONS; BEST-SHOT SELECTION; FPGA; IMAGE PROCESSING ALGORITHMS; OTHER APPLICATIONS; REAL TIMES; SECURITY SURVEILLANCES; SEQUENCE OF IMAGES; VIDEO FACE RECOGNITION;

FACE RECOGNITION;

EID: 55349144202     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85920-8_66     Document Type: Conference Paper

References (14)

1. Phillips, P.J., Scruggs, W.T., O'Toole, A.J., Flynn, P.J., Bowyer. K.W., Schott, C.L., Sharpe, M.: FRVT 2006 and ICE 2006: Large-Scale Results. NISTIR (2007)
2. Phillips, P.J., Grother, P.J., Micheals, R.J., Blackburn, D.M., TabassiI, E., Bone, J.M.: Face recognition vendor test 2002: Evaluation report. NISTIR (2003)
3. International Committee for Information Technologies and Standards: Face Recognition Format for Data Interchange. INCITS Secretariat, Information Technology Industry Council (2006)
4. DeHon, A.: The density advantage of configurable computing. IEE Computer 33(4), 41-49 (2000)
5. Mühlbauer, F., Bobda, C.: A Dynamic Reconfigurable Hardware/Software Architecture for Object Tracking in Video Streams. EURASIP Journal on Embedded Systems 2006, 55-62 (2006)
6. Gordon. G., Lewis. M.: Face Recognition Using Video Clips and Mug Shots. In: Proceedings of the Office of National Drug Control Policy (ONDCP), International Technical Symposium. Nashua, NH (1995)
7. Zhang. Y., Martinez, A.M.: From Stills to Video: Face Recognition Using a Probabilistic Approach. In: Computer Vision and Pattern Recognition Workshop, vol. 27(02), p. 78 (2004)
8. Yang, Z., Al, H., Wu, B., Eao, S., Cai, L.: Face Pose Estimation and its Application in Video Shot Selection. In: Proceedings of the 17th International Conference on Pattern Recognition, pp. 322-325 (2004)
9. Takuya, O., Lao, S.: Best-shot Selection from a Video Sequence of Face Images: An Implementation using Boosting Regression Algorithm. Omron Tech. 44(1), 17-20 (2004)
10. Shotaro, M., Kosuke, H., Shintaro, W., Hiroshi, K.: A Facial Expression-Oriented Best-Shot Face Recording System. Eizo Joho Media Gakkai Gijutsu Hokoku 29(74), 45-48 (2005)
11. Takacs, B.: Comparing face images using the modified Hausdorff distance. Pattern Recognition 31, 1873-1881 (1998)
12. Draper, B.A., Beveridge, R., Willem, Böhm, A.P., Ross. C., Chawathe, M.: Accelerated image processing on fpgas. IEEE Transactions on Image Processing 12(12), 1543-1551 (2003)
13. Torres, C., Arias, M.: FPGA-based Configurable Systolic Architecture for Window-based Image Processing. EURASIP Journal on Applied Signal Processing, Special Issue on Machine Perception on a Chip 2005(7), 1024-1034 (2005)
14. Chang, C., Hsiao, P., Huang, Z.: Integrated Operation of Image Capturing and Processing in FPGA. IJCSNS International Journal of Computer Science and Network Security 6(1), 173-180 (2006)