Abstract
In this digital era, UAV is becoming a trend setter in surveillance and gathering traffic information. Shortage of time to view the entire video necessitates video optimization. In this paper, a novel method has been proposed for optimizing the video frames without variation in the tracking path of the object. The keyframes are extracted using absolute difference of histogram of consecutive frames with mean as threshold. Then principal keyframes are selected at regular interval and finally compiled into an optimized video. In the tracking session, the region of interest is obtained from the first frame of the video and the SURF features are extracted and tracked with KLT tracker. A SURF feature is tracked along the video and position is tabulated. The tracking path is represented graphically to evaluate the tracking deviation from original and optimized video. The proposed method had successfully achieved the average time saved as 90.68% with negligible tracking deviation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Guido, G., Gallelli, V., Rogano, D., Vitale, A.: Evaluating the accuracy of vehicle tracking data obtained from Unmanned Aerial Vehicle. Int. J. Transp. Sci. Technol. 5, 136–151 (2016)
Sheena, C.V., Narayanan, N.K.: Key-frame extraction by analysis of histograms of video frames using statistical methods. In: 4th International Conference on Eco-Friendly Computing and Communication Systems, vol. 70, pp. 36–40. Elsevier (2015)
Emmanouil Barmpounakis, N., Eleni Vlahogianni, I., John Golias, C.: Unmanned aerial aircaft systems for transporation engineering. Int. J. Transp. Sci. Technol. 5(3), 111–122 (2016)
Idries, A., Mohamed, N., Jawhar, I., Mohamed, F., Al-Jaroodi, J.: Challenges of developing UAV applications: a project management view. In: Proceedings of International Conference on Industrial Engineering and Operations Management. IEEE (2015)
Haris, M., Watanabe, T., Fan, L., Widyanto, M.R., Nobuhara, H.: Superresolution for UAV images via adaptive multiple sparse representation and its application to 3-D reconstruction. IEEE Trans. Geosci. Remote Sens. 55(7), 4047–4058 (2017)
Balasubramanian, A., Kamate, S., Yilmazer, N.: Utilization of robust video processing techniques to aid efficient object detection and tracking. Procedia Comput. Sci. 36, 579–586 (2014)
Zhao, L., Qi, W., Li, S.Z., Zhang, H.J.: Key-frame extraction and shot retrieval using nearest feature line (NFL). In: Proceedings of the ACM Multimedia 2000 Workshops, Los Angeles, pp. 217–220 (2000)
Hannane, R., Elboushaki, A., Afdel, K., Naghabhushan, P., Javed, M.: An efficient method for video shot boundary detection and keyframe extraction using SIFT-point distribution histogram. Int. J. Multimedia Inf. Retreival 5, 89–104 (2016)
Barhoumi, W., Zagrouba, E.: On-tht-fly extraction of keyframes for efficient video summarization. In: AASRI Conference on Intelligent Systems and Control, Canada, vol. 4, pp. 78–84. Elsevier (2013)
Kumar, K., Shrimankar, D.D., Singh, N.: Eratosthenes sieve based key-frame extraction technique for event summarization in videos. Multimedia Tools Appl. 1–22 (2017). https://doi.org/10.1007/s11042-017-4642-9. Springer
Jabar, F., Farokhi, S., Sheikh, U.U.: Object tracking using SIFT and KLT tracker for UAV-based applications. In: IEEE International Symposium on Robotics and Intelligent Sensors, Malaysia (2015)
Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: Speeded-up robust features (SURF). Comput. Vis. Image Underst. (CVIU) 110(3), 346–359 (2008)
Mueller, M., Smith, N., Ghanem, B.: A benchmark and simulator for UAV tracking. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9905, pp. 445–461. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46448-0_27
Collins, R., Zhou, X., Teh, S.K.: An open source tracking testbed and evaluation web site. In: IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (2005)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Micheal, A.A., Vani, K. (2018). Optimization of UAV Video Frames for Tracking. In: Venkataramani, G., Sankaranarayanan, K., Mukherjee, S., Arputharaj, K., Sankara Narayanan, S. (eds) Smart Secure Systems – IoT and Analytics Perspective. ICIIT 2017. Communications in Computer and Information Science, vol 808. Springer, Singapore. https://doi.org/10.1007/978-981-10-7635-0_4
Download citation
DOI: https://doi.org/10.1007/978-981-10-7635-0_4
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-7634-3
Online ISBN: 978-981-10-7635-0
eBook Packages: Computer ScienceComputer Science (R0)