This paper proposes a method for optimizing and parallelizing a pedestrian detection algorithm based on CENTRIST in the embedded environment. Pedestrian detection is applied to various areas, but there is a difficulty in the real-time processing of pedestrian detection in the embedded environment. In this paper, a pedestrian detection algorithm that has improved performance by reducing unnecessary memory access due to duplicate computations for real-time processing. The proposed algorithm was implemented in the ALDEBARAN embedded processor(300MHz) which can perform parallel processing. For efficient parallel processing, images were divided into halves which were then processed separately in two CPU cores and the volume of computations was balanced between the two CPU cores. For input images, 512x360 sized images were used. The single core showed the performance of 3.1 frames per second. In the dual core for which the wait time in the process of parallelizing was reduced, the performance improved by about 55% to 4.8 frames per second.
목차
Abstract 1. Introduction 2. Related Work 3. Proposed Algorithm 3.1. Sobel 3.2. Integral Image 3.3. CENTRIST (Census Transform) 3.4. CENTRIST (Histogram) 4. Implementation and Results 4.1. CENTRIST-based Pedestrian Detection 4.2. Optimization of Pedestrian Detection Algorithm 4.3. Parallelization of Pedestrian Detection Algorithm 5. Conclusion Acknowledgment References
보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Control and Automation
간기
월간
pISSN
2005-4297
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.7 No.7