Research Article
Tracking, Recognizing, and Estimating Size of Objects Using Adaptive Technique
@INPROCEEDINGS{10.1007/978-3-030-23943-5_22, author={Fazal Noor and Majed Alhaisoni}, title={Tracking, Recognizing, and Estimating Size of Objects Using Adaptive Technique}, proceedings={Emerging Technologies in Computing. Second International Conference, iCETiC 2019, London, UK, August 19--20, 2019, Proceedings}, proceedings_a={ICETIC}, year={2019}, month={7}, keywords={Arduino microcontroller Object size Kalman filter Log-polar phase correlation Robotics Sonar}, doi={10.1007/978-3-030-23943-5_22} }- Fazal Noor
Majed Alhaisoni
Year: 2019
Tracking, Recognizing, and Estimating Size of Objects Using Adaptive Technique
ICETIC
Springer
DOI: 10.1007/978-3-030-23943-5_22
Abstract
The detection and tracking of object in a video is an important problem in many applications. In surveillance and in robotic vision tracking and recognition of objects and it’s size is desired. In this paper, an algorithm to obtain size of an object in image or video is presented based on pixel relationship to actual size. The object is mainly tracked by the Kalman filter and Log Polar Phase Correlation method is used to more precisely recognize objects in a video. The tracking of objects is performed from frame to frame. As the image of an object gets deformed in a video due to motion of either the camera or the motion of an object a dynamic template for matching is proposed to minimize the error. Simulation results are presented showing the errors in determining the size of objects in an image.
