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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mahmood, Z. Khan, M.U.S. Jawad, M. Khan, S.U. Yang, L.T. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., North Dakota State Univ., Fargo, ND, USA (Mahmood, Z.; Khan, M.U.S.; Jawad, M.; Khan, S.U.) || Dept. of Comput. Sci., St. Francis Xavier Univ., Antigonish, NS, Canada (Yang, L.T.) |
| Abstract | Image analytics, biometrics access control, security, and surveillance applications utilize complex machine learning and computer vision algorithms, such as face detection andrecognition. Speedup and accuracy are two important factors that need to be addressed in all such complex applications. Parallel computing breaks down the complex tasks into discrete fragments to be solved concurrently on multiple processors. The parallel computing procedure significantly reduces the executiontime with improved speedup. This paper presents a parallel framework for object detection and recognition for a secure vehicle parking. The proposed framework is divided in to three steps: (1) vehicle detection at the parking entry junction, (2)driver's face detection, and (3) identification of driver's face from the huge database of stored facial images. On successful identification of authorized person, vehicle is allowed to enter inthe parking-lot. The adaptive boosting algorithm is used for vehicle and face detection, while Eigenfaces based approach is employed for face recognition. Moreover, the scalability comparison of parallely executed driver face recognition algorithm indicates high speedup compared to serial execution. Furthermore, the results of the proposed framework reveal promising performance and encourage outcomes to be deployed in real-time at entrance/exits of the public/private vehicle parking areas. |
| Starting Page | 892 |
| Ending Page | 895 |
| File Size | 741587 |
| Page Count | 4 |
| File Format | |
| e-ISBN | 9781479989379 |
| DOI | 10.1109/HPCC-CSS-ICESS.2015.18 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training Eigenfaces Face recognition Object detection Parallel processing Haar Classifiers Parallel Processing Face Face detection Face Recognition Vehicles |
| Content Type | Text |
| Resource Type | Article |
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