Downloads: 116
Research Paper | Computer Science & Engineering | China | Volume 6 Issue 3, March 2017
A Pedestrian Tracking Algorithm Based on Camshift and Kalman Filtering
Yan Zhang | Lijie Li
Abstract: The traditional MeanShift algorithm, for video target tracking, is prone to color interference, loss of target occlusion, and the speed and degree of convergence of the algorithm. The Camshift algorithm is used to improve the Camshift algorithm by Kalman filter, which can predict the position of the target in the next frame image and determine the Camshift algorithm in the pedestrian tracking search area to overcome the target block and noise interference. Experiments show that the method has well pedestrian tracking effect and application prospect.
Keywords: Camshift, Kalman filter, pedestrian tracking
Edition: Volume 6 Issue 3, March 2017,
Pages: 2256 - 2258
Similar Articles with Keyword 'Kalman filter'
Downloads: 1 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Analysis Study Research Paper, Computer Science & Engineering, India, Volume 13 Issue 1, January 2024
Pages: 805 - 811Predicting the Energy Efficiency in Wireless Sensor Networks using LSTM and Random Forest Method
Aruna Reddy H. | Shivamurthy G. | Rajanna M.
Downloads: 113 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Paper, Computer Science & Engineering, India, Volume 3 Issue 6, June 2014
Pages: 603 - 607Efficiency of Different Filters in Removing Noise from GPS Data
Pratibha Singh [4] | Shivnandan Singh