Abstract
There is a high level of interest in pedestrian detection systems based on worldwide acknowledgement of pedestrian safety, and the need for research in this area is increasing. The HOG based pedestrian detection method proposed by Dalal and Triggs has been recognized as being less sensitive to the clothing and poses of pedestrians and also changes in lighting and is therefore one of the main methods used for pedestrian detection. But because the HOG based method requires a significant amount of computations, it is difficult to implement this method in real-time. Therefore in this research study, to improve the speed and detection rate for pedestrian detection, a pedestrian detection method that was improved upon by reducing dimensions of the particular feature vector extracted using UDP dimension reduction was proposed, and the results of performance evaluation showed that compared to previous HOG, HOG-PCA and HOG-LPP etc. algorithms, the speed and detection rate of the proposed algorithm were confirmed to have been improved.
This work was supported by the ICT R&D program of MSIP/IITP.
(B0101-15-0266, Development of High Performance Visual BigData Discovery Platform for Large-Scale Realtime Data Analysis).
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Dala, N., Triggs, B.: Histogram of oriented gradints for human detection. In: CVPR (2005)
Jeon, H.: A fast human detection method by applying adaptive steps. Master’s thesis, Chonbuk National University (2013)
Jiang, J., Xiong, H.: Fast pedestrian detection based on HOG-PCA and gentle AdaBoost. Int. J. Secur. Its Appl., 1819–1822 (2012)
Wang, C., Zhou, J., Huang, S.: Motion human detection based on mixture of Gaussians and PCA-HOG. Appl. Res. Comput. 6 (2012)
Huang, K., Wang, F., Xu, X., Cheng, Y.: Pedestrian detection using hog dimension reducing in video surveillance. In: Pan, J.-S., Snasel, V., Corchado, E.S., Abraham, A., Wang, S.-L. (eds.) Intelligent Data analysis and its Applications. Springer, Cham (2014)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kim, PK., Kim, HH., Kim, TW. (2017). An Improved Pedestrian Detection System that Utilizes the HOG-UDP Algorithm. In: Park, J., Chen, SC., Raymond Choo, KK. (eds) Advanced Multimedia and Ubiquitous Engineering. FutureTech MUE 2017 2017. Lecture Notes in Electrical Engineering, vol 448. Springer, Singapore. https://doi.org/10.1007/978-981-10-5041-1_37
Download citation
DOI: https://doi.org/10.1007/978-981-10-5041-1_37
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-5040-4
Online ISBN: 978-981-10-5041-1
eBook Packages: EngineeringEngineering (R0)