Object tracking using level set and MPEG 7 color features

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Object tracking using level set and MPEG 7 color features. / Oussalah, M.; Shabash, M.

Image Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference. 2012. p. 105-110.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Oussalah, M & Shabash, M 2012, Object tracking using level set and MPEG 7 color features. in Image Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference. pp. 105-110, 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA), United Kingdom, 15/10/12. https://doi.org/10.1109/IPTA.2012.6469575

APA

Oussalah, M., & Shabash, M. (2012). Object tracking using level set and MPEG 7 color features. In Image Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference (pp. 105-110) https://doi.org/10.1109/IPTA.2012.6469575

Vancouver

Oussalah M, Shabash M. Object tracking using level set and MPEG 7 color features. In Image Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference. 2012. p. 105-110 https://doi.org/10.1109/IPTA.2012.6469575

Author

Oussalah, M. ; Shabash, M. / Object tracking using level set and MPEG 7 color features. Image Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference. 2012. pp. 105-110

Bibtex

@inproceedings{75d950307cfd4c8d9f1964e71c188f14,
title = "Object tracking using level set and MPEG 7 color features",
abstract = "This paper investigates the use of a binary level set-based approach for tracking vehicles in video sequences captured by camera systems. A combination of color and segmentation features including background subtraction and connected component labeling will be incorporated into the level set-based framework to achieve the tracking. Next, the retrieval task with respect to a given user's request image is achieved using a set of similarity indices constructed through MPEG-7 color features; namely, color histogram, dominant color descriptor and color layout descriptor. The performances of the system are evaluated in terms of precision and recall evaluations.",
author = "M. Oussalah and M. Shabash",
year = "2012",
month = oct,
doi = "10.1109/IPTA.2012.6469575",
language = "English",
pages = "105--110",
booktitle = "Image Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference",
note = "2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA) ; Conference date: 15-10-2012 Through 18-10-2012",

}

RIS

TY - GEN

T1 - Object tracking using level set and MPEG 7 color features

AU - Oussalah, M.

AU - Shabash, M.

PY - 2012/10

Y1 - 2012/10

N2 - This paper investigates the use of a binary level set-based approach for tracking vehicles in video sequences captured by camera systems. A combination of color and segmentation features including background subtraction and connected component labeling will be incorporated into the level set-based framework to achieve the tracking. Next, the retrieval task with respect to a given user's request image is achieved using a set of similarity indices constructed through MPEG-7 color features; namely, color histogram, dominant color descriptor and color layout descriptor. The performances of the system are evaluated in terms of precision and recall evaluations.

AB - This paper investigates the use of a binary level set-based approach for tracking vehicles in video sequences captured by camera systems. A combination of color and segmentation features including background subtraction and connected component labeling will be incorporated into the level set-based framework to achieve the tracking. Next, the retrieval task with respect to a given user's request image is achieved using a set of similarity indices constructed through MPEG-7 color features; namely, color histogram, dominant color descriptor and color layout descriptor. The performances of the system are evaluated in terms of precision and recall evaluations.

U2 - 10.1109/IPTA.2012.6469575

DO - 10.1109/IPTA.2012.6469575

M3 - Conference contribution

SP - 105

EP - 110

BT - Image Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference

T2 - 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA)

Y2 - 15 October 2012 through 18 October 2012

ER -