Visual image tracking involves the estimation of the motion of any desired targets in a surveillance region using a sequence of images. A standard method of isolating moving targets in image tracking uses background subtraction. The standard background subtraction method is often impacted by irrelevant information in the images, which can lead to poor performance in image-based target tracking. In this paper, a B-Spline based image tracking is implemented. The novel method models the background and foreground using the B-Spline method followed by a tracking-by-detection algorithm. The eï€ectiveness of the proposed algorithm is demonstrated.

Additional Metadata
Persistent URL dx.doi.org/10.1117/12.2228248
Conference Signal Processing, Sensor/Information Fusion, and Target Recognition XXV
Citation
Balaji, B. (Bhashyam), Sithiravel, R. (Rajiv), Damini, A. (Anthony), Kirubarajan, T. (Thiagalingam), & Rajan, S. (2016). B-spline based image tracking by detection. In Proceedings of SPIE - The International Society for Optical Engineering. doi:10.1117/12.2228248