Abstract
The prohibitive amounts of time required to review the large amounts of data captured by surveillance and other cameras has brought into question the very utility of large scale video logging. Yet, one recognizes that such logging and analysis are indispensable to security applications. The only way out of this paradox is to devise expedited browsing, by the creation of hyperlapse. We address the hyperlapse problem for the very challenging category of intensive egomotion which makes the hyperlapse highly jerky. We propose an economical approach for trajectory estimation based on Visual Odometry and implement cost functions to penalize pose and path deviations. Also, this is implemented on data taken by omni-directional camera, so that the viewer can opt to observe any direction while browsing. This requires many innovations, including handling the massive radial distortions and implementing scene stabilization that need to be operated upon the least distorted region of the omni view.
Original language | English |
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Title of host publication | Computer Vision, Pattern Recognition, Image Processing, and Graphics - 6th National Conference, NCVPRIPG 2017, Revised Selected Papers |
Editors | Chetan Arora, Renu Rameshan, Sumantra Dutta Roy |
Publisher | Springer Verlag |
Pages | 3-13 |
Number of pages | 11 |
ISBN (Print) | 9789811300196 |
DOIs | |
Publication status | Published - 1 Jan 2018 |
Event | 6th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2017 - Mandi, India Duration: 16 Dec 2017 → 19 Dec 2017 |
Publication series
Name | Communications in Computer and Information Science |
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Volume | 841 |
ISSN (Print) | 1865-0929 |
Conference
Conference | 6th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2017 |
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Country/Territory | India |
City | Mandi |
Period | 16/12/17 → 19/12/17 |
Funding
Acknowledgment. This project is a part of postgraduate dissertation research work at Indian Institute of Technology Kanpur, India, financially supported by the Indian government organization Defence Research and Development Organisation.
ASJC Scopus subject areas
- General Computer Science
- General Mathematics