An Object Tracking System Based on SIFT and SURF Feature Extraction Methods
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[1] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[2] Umut Uludag,et al. On identification from periocular region utilizing SIFT and SURF , 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).
[3] Vincent Lepetit,et al. A fast local descriptor for dense matching , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[4] 金出 武雄,et al. Picture processing system by computer complex and recognition of human faces , 1974 .
[5] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[6] David E. Culler,et al. Design and implementation of a high-fidelity AC metering network , 2009, 2009 International Conference on Information Processing in Sensor Networks.
[7] Ian F. Akyildiz,et al. Wireless sensor and actor networks: research challenges , 2004, Ad Hoc Networks.
[8] Zachary Dodds,et al. Evaluating the Roomba: A low-cost, ubiquitous platform for robotics research and education , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[9] Özgür B. Akan,et al. Event-to-sink reliable transport in wireless sensor networks , 2005, IEEE/ACM Transactions on Networking.
[10] Thomas S. Huang,et al. Motion and structure from feature correspondences: a review , 1994, Proc. IEEE.
[11] Hiroyuki Ohsaki,et al. Community Structure and Interaction Locality in Social Networks , 2015, J. Inf. Process..
[12] Yang Yu,et al. Supporting concurrent applications in wireless sensor networks , 2006, SenSys '06.
[13] Cordelia Schmid,et al. A performance evaluation of local descriptors , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Arnold W. M. Smeulders,et al. Real-Time Visual Concept Classification , 2010, IEEE Transactions on Multimedia.
[15] Koen E. A. van de Sande,et al. Evaluating Color Descriptors for Object and Scene Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Ana Cristina Murillo,et al. SURF features for efficient robot localization with omnidirectional images , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[17] Aapo Hyvärinen,et al. Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.
[18] Anton van den Hengel,et al. Thrift: Local 3D Structure Recognition , 2007, 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007).
[19] Yong-Ho Moon,et al. Multiple Object Tracking Using SIFT Features and Location Matching , 2011 .
[20] Christopher Hunt,et al. Notes on the OpenSURF Library , 2009 .
[21] Kida Takuya,et al. Two Dimensional Pattern Matching for JPEG Images , 2008 .
[22] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[23] Tamim Asfour,et al. Combining Harris interest points and the SIFT descriptor for fast scale-invariant object recognition , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[24] Koike Atsushi,et al. Performance Comparison Between SIFT and SURF for Feature Points Matching in Dynamic Calibration with Zoom Camera , 2012 .
[25] Kari Pulli,et al. Realtime Computer Vision with OpenCV , 2012, ACM Queue.