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Real-time Sound Localization Using Generalized Cross Correlation Based on 0.13 m CMOS Process
Jungdong Jin,Seunghun Jin,SangJun Lee,Hyung Soon Kim,Jong Suk Choi,Munsang Kim,Jae Wook Jeon 대한전자공학회 2014 Journal of semiconductor technology and science Vol.14 No.2
In this paper, we present the design and implementation of real-time sound localization based on 0.13 m CMOS process. Time delay of arrival (TDOA) estimation was used to obtain the direction of the sound signal. The sound localization chip consists of four modules: data buffering, short-term energy calculation, cross correlation, and azimuth calculation. Our chip achieved real-time processing speed with full range (360°) using three microphones. Additionally, we developed a dedicated sound localization circuit (DSLC) system for measuring the accuracy of the sound localization chip. The DSLC system revealed that our chip gave reasonably accurate results in an experiment that was carried out in a noisy and reverberant environment. In addition, the performance of our chip was compared with those of other chip designs.
Hardware Architecture Design for Vehicle Detection Using a Stereo Camera
Jungdong Jin,Dongkyun Kim,Ji Ho Song,Vinh Dinh Nguyen,Jae Wook Jeon 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10
Vehicle detection systems are increasingly important in providing vehicle road safety. However, many problems remain, such as a limit in the number of vehicles detected, false vehicle detection, and large processing time. Thus, we propose an efficient method for vehicle detection. This paper simulates vehicle detection using a rectified image and a disparity image based on dedicated hardware architecture. Every vehicle detection function, including vehicle corner detection, vehicle region expansion, and vehicle region validation, is implemented using parallel architecture. Our proposed hardware architecture is suitable for real time processing using the dedicated hardware architecture. In addition, we can detect many vehicles in the rectified image and reduce the false detection of vehicles.
Real-time Sound Localization Using Generalized Cross Correlation Based on 0.13 ㎛ CMOS Process
Jin, Jungdong,Jin, Seunghun,Lee, SangJun,Kim, Hyung Soon,Choi, Jong Suk,Kim, Munsang,Jeon, Jae Wook The Institute of Electronics and Information Engin 2014 Journal of semiconductor technology and science Vol.14 No.2
In this paper, we present the design and implementation of real-time sound localization based on $0.13{\mu}m$ CMOS process. Time delay of arrival (TDOA) estimation was used to obtain the direction of the sound signal. The sound localization chip consists of four modules: data buffering, short-term energy calculation, cross correlation, and azimuth calculation. Our chip achieved real-time processing speed with full range ($360^{\circ}$) using three microphones. Additionally, we developed a dedicated sound localization circuit (DSLC) system for measuring the accuracy of the sound localization chip. The DSLC system revealed that our chip gave reasonably accurate results in an experiment that was carried out in a noisy and reverberant environment. In addition, the performance of our chip was compared with those of other chip designs.
FPGA Design and Implementation of a Real-Time Vehicle Detection System
Jungdong Jin,Vinh Dinh Nguyen,SangJun Lee,Jae Wook Jeon 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
In this paper, we propose a real-time vehicle detection system based on stereo vision system. Our system is composed of pipelined parallel processing techniques based on dedicated hardware architecture. The entire vehicle detection process, including histogram equalization, Canny edge detection, vehicle corner detection, vehicle region expansion, and vehicle validation, is made using a single field-programmable gate array (FPGA) without any external devices. Our system is about 3 times faster than a software program on a computer, and it shows high accuracy and low false rate. Thus, our proposed system is suitable for real-time processing.
Single-camera dedicated television control system using gesture drawing
Soonmook Jeong,Jungdong Jin,Taehoun Song,Keyho Kwon,Jae Wook Jeon IEEE 2012 IEEE transactions on consumer electronics Vol.58 No.4
<P>As gesture recognition technology has improved, it has been applied to various consumer appliances to provide natural interfaces. Television is a representative system for this kind of interface because of its complex requirements for various functions. Icon-based interfaces are the general method used. However, according to the performed survey, various functions were not required for watching TV. This work found most viewers mainly tend to use some specific functions such as channel or volume. These functions should be controlled easily and quickly since they are frequently used. However, the iconbased interface has difficulty fulfilling this requirement since it is affected by Fitts' law. Hence, this paper proposes a gesturebased method for easy and quick control. User hand gestures are recognized by capturing the motion path when the user draws different symbols in the air. These gestures are used to interact with the TV. It is implemented using a single-camera dedicated hardware system. This system is based on a real time parallel processing structure. The analysis shows that subjects enjoy this TV control system.</P>