@inproceedings{7cdbe9f7881d4819bcd1c7a3e0d4fed6,
title = "An effective hough transform based track initiation",
abstract = "In this paper, a Hough Transform (HT) based track initiation method is proposed to detect targets in 3L (low signal-to-clutter-ratio, low signal-to-noise-ratio, and low detection probability) environment using a new and effective accumulation method. In the new accumulation method, the contributions of each cell's votes are determined by the neighbors of the resolving cell, instead of just the cell itself so that the disturbance of sampled probability density, due to finite samples, can be smoothed. Simulation results show that our method not only makes significant improvement in reducing false tracks but also has stronger robustness to measurement noise and clutters, compared with standard HT based track initiation with binary accumulation.",
keywords = "Hough transform, Multiple target tracking, Track initiation",
author = "Jin, {Shu Ling} and Yan Liang and Peng He and Pan, {Guang Lin} and Quan Pan and Cheng, {Yong Mei}",
year = "2006",
doi = "10.1109/ICMLC.2006.258425",
language = "英语",
isbn = "1424400619",
series = "Proceedings of the 2006 International Conference on Machine Learning and Cybernetics",
pages = "3196--3200",
booktitle = "Proceedings of the 2006 International Conference on Machine Learning and Cybernetics",
note = "2006 International Conference on Machine Learning and Cybernetics ; Conference date: 13-08-2006 Through 16-08-2006",
}