A Fast Algorithm Research of Moving Targets Detection Based on GPU

Abstract:

Moving object detection which is an important part of the digital image processing technology is research focus and difficulty in computer vision, pattern recognition, object recognition and tracking, moving image coding, security monitoring and other fields. It also has a wide application prospect in the military, national defense and industry fields. However, when there are large amount of moving targets and exercise conditions, the amount of data generated is also inestimable and target detection is a bottleneck in the data processing at the same time. The work of this paper is to simplify motion detection in optical flow constraint equation solving process and all the solving processes were constructed on GPU for fast speed, then it forms a fast moving target detection.

• Periodical: Advanced Materials Research (Volumes 850-851)
• Pages: 776-779
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.850-851.776
• Online since: December 2013
• Authors: Han Jun Jin*, Feng Jiao Wang
• Keywords: Fast Speed, GPU, Moving Object, Optical Flow

References

[1] J Barron, D FIeet and S Beauchemin: InternationaI JournaI of Computer Vision, Vol. 12 (1994) No. 1, p.42.

[2] Shahinfard E., Sid- Ahmed M.A. and Ahmadi, M: Proceedings of the International Conference on Image Processing, (San Diego, USA, October 12-15, 2008). Vol. 1, p.889.

[3] AIexei A Efros，AIexander C Berg，Greg Mori，Jitendra MaIik: Recognizing Action at a Distance. : InternationaI Conferenceon Computer Vision ( Nice, France , October 14-17, 2003）Vol. 2, p.726.

[4] Elgammal, A. DuraiswamiR, Harwood: Proceedings of the IEEE, Vol. 90 (2002) No. 2, p.1151.

[5] Y. Tang, W. M. Liu and L. Xiong: Natural Computation, Vol. 8 (2008) No. 8, p.167.

[6] K Kim, Chalidabhongse, T. H, Harwood: Image Processing(Singapore, Singapore, October 24-27, 2004）Vol. 5, p.3061.

[7] Eun - Jung HoIden, Robyn Owens: Asian Conference on Computer Vision(Jeju Island, Korea, January 2004) Vol. 3, p.1151.

[8] C. Wen，A Azarbayejani，T DarreII and A PentIand. Pfinder： IEEE Trans. Pattern AnaIysis and Machine InteIIigence，Vol. 19(1997) No. 7, p.112.

[9] Pavel Korshunov, Wei Tsang and Ooi. Critical: Proceedings of the 13th Annual ACM International Conference(Singapore, November 8-10, 2005), p.151.

[10] M.H. Zhu, D.Y. Luo: Computer Measurement & Control, Vol. 10(2006) No. 12, p.32.

[11] Punam Kumar Saha. Tensor scale: Computer Vision and Image Understanding, Vol. 99(2005) No. 3, p.384.

[12] W Hu, Kai Qin: Journal of Computer Research And Development, Vol. 42(2005) No. 6, p.81.