SIFT features for object recognition and tracking within the IVSEE system

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2008, Pages

  López García, Fernando ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EXPERIMENTAL WORKS; HUMAN VISUAL SYSTEM; OBJECT EXTRACTION; OBJECT TRACKING; SIFT FEATURE; SYSTEM BEHAVIORS; SYSTEM DESIGN;

OBJECT RECOGNITION;

FEATURE EXTRACTION;

EID: 77957955076     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. D. Vernon. The Space of Cognitive Vision. In Cognitive Vision Systems: Sampling the Spectrum of Approaches, LNCS (3948):7-24, 2006.
2. H. I. Christensen and H. H. Nagel (Eds.). Cognitive Vision Systems: Sampling the Spectrum of Approaches. LNCS 3948, Springer, Berlin, 2006.
3. M. D. Levine. Vision in Man and Machine. McGraw-Hill, 1985.
4. D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2) :91-110, 2004.
5. M. Petrou and P. Bosdogianni. Image Processing: The Fundamentals. John Wiley & Sons, 1999.
6. Q. Zhou, L. Ma and D. Chelberg. Adaptive object detection and recognition based on a feedback strategy. Image and Vision Computing, 24(1) :80-93, 2006.
7. H. Niemann, G. Sagerer, S. Schröder and F. Kummert. ERNEST: a semantic network system for pattern understanding. IEEE Trans. Patt. Anal. Mach. Intell (PAMI), 12(9) :883-905, 1990.
8. S. Russell and P. Norvig. Artifical Intelligence: A Modern Approach. 2nd Edition, Prentice Hall, 2003.
9. U. Ahlrichs, D. Paulus and H. Niemann. Knowledge-based scene exploration using computer vision and learned analysis strategies. International Journal of Pattern Recognition and Artificial Intelligence, 18(4) :627-664, 2004.