An approach for Object Detection and Object Tracking using Background Subtraction
@article{Lad2016AnAF, title={An approach for Object Detection and Object Tracking using Background Subtraction}, author={Divya N. Lad and Tejal Patel}, journal={International Journal of Advance Research and Innovative Ideas in Education}, year={2016}, volume={2}, pages={556-561} }
Usually, the video based object tracking deal with non-stationary image stream that change over time. Identifying
moving objects from a video sequence is a fundamental and critical task in many computer vision applications.
Robust and real-time moving object tracking is a problematic issue in computer vision research area. In the existing
system researchers have designed a modified PN learning algorithm for enhancing the performance of system.
Modified PN learning algorithm achieves… CONTINUE READING
References
SHOWING 1-10 OF 22 REFERENCES
Adaptive automatic tracking, learning and detection of any real time object in the video stream
- Computer Science
- 2014 5th International Conference - Confluence The Next Generation Information Technology Summit (Confluence)
- 2014
- 6
- Highly Influential
A particular object tracking in an environment of multiple moving objects
- Computer Science
- ICCAS 2010
- 2010
- 30
Real-time object detection and tracking in an unknown environment
- Computer Science
- 2011 World Congress on Information and Communication Technologies
- 2011
- 13
Real-time moving object tracking in video
- Computer Science
- 2012 International Conference on Optoelectronics and Microelectronics
- 2012
- 7
Online Feature Extraction and Selection for Object Tracking
- Computer Science
- 2007 International Conference on Mechatronics and Automation
- 2007
- 11
Object tracking system based on invariant features
- Mathematics
- 2013 International Conference on Communication and Signal Processing
- 2013
- 9
Real-time object tracking via CamShift-based robust framework
- Computer Science
- 2012 IEEE International Conference on Information Science and Technology
- 2012
- 18