Illumination Invarience Mean Shift Tracking
Product Description
Abstract—Illumination Invarience Mean Shift Tracking. Visual tracking is a very challenging task in real life applications because of the instability in illuminations. An illumination or brightness variation is the significant issue in the tracking of object of interest. A satisfying method is proposed in this paper to correct the non uniformity in illumination. In this method discrete cosine transformation (DCT) is used to normalize the variations in illumination in logarithmic domain. High frequency coefficients of discrete cosine transformation are discarded because illuminations are reflected in low frequency coefficients only. < Final Year Projects > We compensate the illumination variations by modifying DC coefficients and taking average of these DC coefficients of neighboring frames of current frame. The corrected illumination videos are applied to mean shift algorithm to track the object of interest.
Video
View Demo
Including Packages
Our Specialization
Support Service
Statistical Report
satisfied customers
3,589
Freelance projects
983
sales on Site
11,021
developers
175+
Additional Information
| Domains | |
|---|---|
| Programming Language |
Would you like to submit yours?
There are no reviews yet