







Vol.1 , No. 3, Publication Date: Oct. 27, 2014, Page: 20-28
[1] | Oladosu Olakunle Abimbola, Department of Computer Technology, Yaba College of Technology, Yaba, Lagos. |
[2] | Okikiola Folasade Mercy, Department of Computer Technology, Yaba College of Technology, Yaba, Lagos. |
[3] | Oladiboye Olasunkanmi Esther, Department of Computer Technology, Yaba College of Technology, Yaba, Lagos. |
The availability of such imagery presents profound opportunities for image processing and computer vision research and exciting new applications in related fields. The challenge is how to organize, catalogue and retrieve such image data in a visually meaningful manner. It requires the development of new algorithms in the fields of scalable search in databases for global and/or local image features, integration with multi-modal data (meta-data), such as text and GPS information, information retrieval on the internet, scalable deployments of related algorithms on clustered computing architectures and multi-user interaction in social media. Object recognition has gained significant interest in scientific circles lately. Much early work on the analysis of activities took place within the computer vision community and leveraged video cameras as passive and non-invasive sensors. More recently, alternative paradigms based on dense sensors have emerged.
Keywords
Object, Image, Pattern, Action, Activity, Event, Metadata
Reference
[01] | Andrea Selinger and Randal C. Nelson, ``A Perceptual Grouping Hierarchy for Appearance-Based 3D Object Recognition'', Computer Vision and Image Understanding, vol. 76, no. 1, October 1999, pp.83-92 |
[02] | Breiman, L. 1996, Machine Learning, 24(2), 123 |
[03] | B. Schiele and J. L. Crowley "Recognition without correspondence using multidimensional receptive field histograms", International Journal of Computer Vision, 36:1, 31-50, 2000 |
[04] | Bülthoff, H. & Edelman, S. Psychophysical support for a two-dimensional view interpolation theory of object recognition. Proc. Natl. Acad. Sci. USA 89, 60–64 (1992). |
[05] | Derek Hao Hu, Qiang Yang. "CIGAR: Concurrent and Interleaving Goal and Activity Recognition", to appear in AAAI 2008 |
[06] | Favela, Monica Tentori, Luis A. Castro, Victor M. Gonzalez, Elisa B. Moran, and Ana I. |
[07] | Mart´ınez-Garc´ıa. Activity recognition for context-aware hospital applications: issues and opportunities for the deployment of pervasive networks. Mob. Netw. Appl., 12(2-3):155–171, 2007. |
[08] | http://csdl.computer.org/comp/proceedings/icip/1997/8183/03/81830408abs.htm |
[09] | Jie Yin, Dou Shen, Qiang Yang and Ze-nian Li "Activity Lecture Notes in Computer Science, pages 1–17, 2004. |
[10] | L. Bao and S. Intille. Activity recognition from user annotated acceleration data. |
[11] | Ling Bao and Stephen S. Intille. Activity recognition from user-annotated acceleration data. In |
[12] | Pervasive 2004, pages 1–17. Springer, 2004. |
[13] | Mel, B. SEEMORE: combining color, shape, and texture histogramming in a neurally inspired approach to visual object recognition. Neural Compuet. 9, 777–804 (1997). |
[14] | Michael Tarr, Brown University http://www.cog.brown.edu/~tarr/pdf/Tarr02ECS.pdf#search= 'object%20recognition |
[15] | M. J. Swain and D. H. Ballard "Colour indexing", International Journal of Computer Vision, 7:1, 11-32, 1991. |
[16] | P. Peursum, G. West, and S. Venkatesh. Combining image regions and human activity for indirect object recognition in indoor wide-angle views. In Proc. ICCV, volume 1, pages 82–89, 2005. |
[17] | Recognition through Goal-Based Segmentation". Proceedings of the Twentieth National |
[18] | Recognition. In Proc. of the 7th Annual IEEE International Conference on Pervasive Computing and Communications (Percom '09), Galveston, Texas, March 9–13, 2009. |
[19] | Randal C. Nelson, ``Memory-Based Recognition for 3-D Objects'', Proc. ARPA Image Understanding Workshop, Palm Springs CA, February 1996, 1305-1310. |
[20] | Wallis, G. & Rolls, E. A model of invariant object recognition in the visual system Programming. Neurobiol. 51, 167–194 (1997). |