Real-time small target detection method Using multiple filters and IPP Libraries in Infrared Images
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초록
In this paper, we propose a fast small target detection method using multiple filters, and describe system implementation using IPP libraries. To detect small targets in Infra-Red images, it is mandatory that you should apply a filter to eliminate a background and identify the target information. Moreover, by using a suitable algorithm for the environments and characteristics of the target, the filter must remove the background information while maintaining the target information as possible. For this reason, in the proposed method we have detected small targets by applying multi area(spatial) filters in a low luminous environment. In order to apply the multi spatial filters, the computation time can be increased exponentially in case of the sequential operation. To build this algorithm in real-time systems, we have applied IPP library to secure a software optimization and reduce the computation time. As a result of applying real environments, we have confirmed a detection rate more than 90%, also the computation time of the proposed algorithm have been improved about 90% than a typical sequential computation time.
Abstract
In this paper, we propose a fast small target detection method using multiple filters, and describe system implementation using IPP libraries. To detect small targets in Infra-Red images, it is mandatory that you should apply a filter to eliminate a background and identify the target information. Moreover, by using a suitable algorithm for the environments and characteristics of the target, the filter must remove the background information while maintaining the target information as possible. For this reason, in the proposed method we have detected small targets by applying multi area(spatial) filters in a low luminous environment. In order to apply the multi spatial filters, the computation time can be increased exponentially in case of the sequential operation. To build this algorithm in real-time systems, we have applied IPP library to secure a software optimization and reduce the computation time. As a result of applying real environments, we have confirmed a detection rate more than 90%, also the computation time of the proposed algorithm have been improved about 90% than a typical sequential computation time.
참고문헌 (11)
- P. Viola, "Robust Real-time Face Detection", International Journal of Computer Vision, 57(2), pp.137~154 (2004)
- 서정주, "Edge Detection을 이용한 간 혈관 추출", 한국컴퓨터정보학회논문지, 17(3), pp.51~57 (2012), 한국컴퓨터정보학회
- 주성일, "깊이 영상 기반 손 영역 추적 및 손 끝점 검출", 한국컴퓨터정보학회논문지, 18(8), pp.65~75 (2013), 한국컴퓨터정보학회
- S. Rajkumar, "Target Detection in Infrared Images Using Block-Based Approach", Proceeding of ICICTS 2014, 4, pp.1~16 (2014)
- H. Chen, "Small Target detection Based on Infrared Image Adaptive", International Journal on Smart Sensing and Intelligent Systems, 8(1), pp.497~515 (2015)
- D. Liu, "Temporal Profile Based Small Moving Target Detection Algorithm in Infrared Image Sequences", International Journal of Infrared Military Waves, 28, pp.373~391 (2007)
- 박병선, "The horizontal line detection method using Haar-like features and linear regression in infrared images", 한국컴퓨터정보학회논문지, 20(12), pp.29~36 (2015), 한국컴퓨터정보학회
- 김재협, "적외선 영상에서 변위추정 및 SURF 특징을 이용한 표적 탐지 분류 기법", 한국컴퓨터정보학회논문지, 19(11), pp.43~52 (2014), 한국컴퓨터정보학회
- H. Taotao, "Infrared Small Target Detecting Based on Parallel Streaming Pipeline Architecture", Proceeding of CMES 2015, pp.346~349 (2015)
- 예수영, "Small Target Detecting and Tracking Using Mean Shifter Guided Kalman Filter", Transactions on Electrical and Electronic Materials, 14(4), pp.187~192 (2013), 한국전기전자재료학회[DOI]