Standard

DYNAMIC KEYPOINT-BASED ALGORITHM OF OBJECT TRACKING. / Morgacheva, A. I.; Kulikov, V. A.; Kosykh, V. P.

INTERNATIONAL WORKSHOP PHOTOGRAMMETRIC AND COMPUTER VISION TECHNIQUES FOR VIDEO SURVEILLANCE, BIOMETRICS AND BIOMEDICINE. ed. / S Zheltov; Y Vizilter; Knyaz. Copernicus Gesellschaft mbH, 2017. p. 79-82 (International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences; Vol. 42-2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Morgacheva, AI, Kulikov, VA & Kosykh, VP 2017, DYNAMIC KEYPOINT-BASED ALGORITHM OF OBJECT TRACKING. in S Zheltov, Y Vizilter & Knyaz (eds), INTERNATIONAL WORKSHOP PHOTOGRAMMETRIC AND COMPUTER VISION TECHNIQUES FOR VIDEO SURVEILLANCE, BIOMETRICS AND BIOMEDICINE. International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, vol. 42-2, Copernicus Gesellschaft mbH, pp. 79-82, International Workshop on Photogrammetric and Computer Vision Techniques for Video Surveillance, Biometrics and Biomedicine, Moscow, 15.05.2017. https://doi.org/10.5194/isprs-archives-XLII-2-W4-79-2017

APA

Morgacheva, A. I., Kulikov, V. A., & Kosykh, V. P. (2017). DYNAMIC KEYPOINT-BASED ALGORITHM OF OBJECT TRACKING. In S. Zheltov, Y. Vizilter, & Knyaz (Eds.), INTERNATIONAL WORKSHOP PHOTOGRAMMETRIC AND COMPUTER VISION TECHNIQUES FOR VIDEO SURVEILLANCE, BIOMETRICS AND BIOMEDICINE (pp. 79-82). (International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences; Vol. 42-2). Copernicus Gesellschaft mbH. https://doi.org/10.5194/isprs-archives-XLII-2-W4-79-2017

Vancouver

Morgacheva AI, Kulikov VA, Kosykh VP. DYNAMIC KEYPOINT-BASED ALGORITHM OF OBJECT TRACKING. In Zheltov S, Vizilter Y, Knyaz, editors, INTERNATIONAL WORKSHOP PHOTOGRAMMETRIC AND COMPUTER VISION TECHNIQUES FOR VIDEO SURVEILLANCE, BIOMETRICS AND BIOMEDICINE. Copernicus Gesellschaft mbH. 2017. p. 79-82. (International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences). doi: 10.5194/isprs-archives-XLII-2-W4-79-2017

Author

Morgacheva, A. I. ; Kulikov, V. A. ; Kosykh, V. P. / DYNAMIC KEYPOINT-BASED ALGORITHM OF OBJECT TRACKING. INTERNATIONAL WORKSHOP PHOTOGRAMMETRIC AND COMPUTER VISION TECHNIQUES FOR VIDEO SURVEILLANCE, BIOMETRICS AND BIOMEDICINE. editor / S Zheltov ; Y Vizilter ; Knyaz. Copernicus Gesellschaft mbH, 2017. pp. 79-82 (International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences).

BibTeX

@inproceedings{e81dc6e5650748399b0b65af317fb25b,
title = "DYNAMIC KEYPOINT-BASED ALGORITHM OF OBJECT TRACKING",
abstract = "The model of the observed object plays the key role in the task of object tracking. Models as a set of image parts, in particular, keypoints, is more resistant to the changes in shape, texture, angle of view, because local changes apply only to specific parts of the object. On the other hand, any model requires updating as the appearance of the object changes with respect to the camera. In this paper, we propose a dynamic (time-varying) model, based on a set of keypoints. To update the data this model uses the algorithm of rating keypoints and the decision rule, based on a Function of Rival Similarity (FRiS). As a result, at the test set of image sequences the improvement was achieved on average by 9.3% compared to the original algorithm. On some sequences, the improvement was 16% compared to the original algorithm.",
keywords = "Tracking, Keypoints, Dynamic object model, FRiS",
author = "Morgacheva, {A. I.} and Kulikov, {V. A.} and Kosykh, {V. P.}",
year = "2017",
month = may,
doi = "10.5194/isprs-archives-XLII-2-W4-79-2017",
language = "English",
series = "International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences",
publisher = "Copernicus Gesellschaft mbH",
pages = "79--82",
editor = "S Zheltov and Y Vizilter and Knyaz",
booktitle = "INTERNATIONAL WORKSHOP PHOTOGRAMMETRIC AND COMPUTER VISION TECHNIQUES FOR VIDEO SURVEILLANCE, BIOMETRICS AND BIOMEDICINE",
address = "Germany",
note = "International Workshop on Photogrammetric and Computer Vision Techniques for Video Surveillance, Biometrics and Biomedicine ; Conference date: 15-05-2017 Through 17-05-2017",

}

RIS

TY - GEN

T1 - DYNAMIC KEYPOINT-BASED ALGORITHM OF OBJECT TRACKING

AU - Morgacheva, A. I.

AU - Kulikov, V. A.

AU - Kosykh, V. P.

PY - 2017/5

Y1 - 2017/5

N2 - The model of the observed object plays the key role in the task of object tracking. Models as a set of image parts, in particular, keypoints, is more resistant to the changes in shape, texture, angle of view, because local changes apply only to specific parts of the object. On the other hand, any model requires updating as the appearance of the object changes with respect to the camera. In this paper, we propose a dynamic (time-varying) model, based on a set of keypoints. To update the data this model uses the algorithm of rating keypoints and the decision rule, based on a Function of Rival Similarity (FRiS). As a result, at the test set of image sequences the improvement was achieved on average by 9.3% compared to the original algorithm. On some sequences, the improvement was 16% compared to the original algorithm.

AB - The model of the observed object plays the key role in the task of object tracking. Models as a set of image parts, in particular, keypoints, is more resistant to the changes in shape, texture, angle of view, because local changes apply only to specific parts of the object. On the other hand, any model requires updating as the appearance of the object changes with respect to the camera. In this paper, we propose a dynamic (time-varying) model, based on a set of keypoints. To update the data this model uses the algorithm of rating keypoints and the decision rule, based on a Function of Rival Similarity (FRiS). As a result, at the test set of image sequences the improvement was achieved on average by 9.3% compared to the original algorithm. On some sequences, the improvement was 16% compared to the original algorithm.

KW - Tracking

KW - Keypoints

KW - Dynamic object model

KW - FRiS

U2 - 10.5194/isprs-archives-XLII-2-W4-79-2017

DO - 10.5194/isprs-archives-XLII-2-W4-79-2017

M3 - Conference contribution

T3 - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences

SP - 79

EP - 82

BT - INTERNATIONAL WORKSHOP PHOTOGRAMMETRIC AND COMPUTER VISION TECHNIQUES FOR VIDEO SURVEILLANCE, BIOMETRICS AND BIOMEDICINE

A2 - Zheltov, S

A2 - Vizilter, Y

A2 - Knyaz, null

PB - Copernicus Gesellschaft mbH

T2 - International Workshop on Photogrammetric and Computer Vision Techniques for Video Surveillance, Biometrics and Biomedicine

Y2 - 15 May 2017 through 17 May 2017

ER -

ID: 18873103