Abstract
The paper discusses methodology and presents preliminary results of a low-cost method for visual tracking (in an exemplary setup consisting of a mobile agent, e.g. a drone, with an on-board that follows a mobile ground object randomly changing its location). In general, a well-known concept of keypoint-based image representation and matching has been applied. However, the proposed techniques have been simplified so that the future system can be prospectively installed on board of low-cost drones (or other similarly inexpensive agents). The main modifications include: (1) target localization based on statistical approximations, (2) simplified vocabulary building (and quantization of descriptors into visual words), and (3) a prospective use of dedicated hardware.
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Śluzek, A., Alali, A., Alzaabi, A., Aljasmi, A. (2016). Visual Target Tracking Using a Low-Cost Methodology Based on Visual Words. In: Chmielewski, L., Datta, A., Kozera, R., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2016. Lecture Notes in Computer Science(), vol 9972. Springer, Cham. https://doi.org/10.1007/978-3-319-46418-3_44
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