[논문]Combining Object Detection and Hand Gesture Recognition for Automatic Lighting System Control

Pham, Giao N.; Nguyen, Phong H.; Kwon, Ki-Ryong

doi:10.33851/jmis.2019.6.4.329

Combining Object Detection and Hand Gesture Recognition for Automatic Lighting System Control 원문보기

The journal of multimedia information system, v.6 no.4, 2019년, pp.329 - 332

Pham, Giao N. (Advanced Analytics Center, FPT Software Co., Ltd.) , Nguyen, Phong H. (Center of Machine Vision and Signal Analysis, University of Oulu) , Kwon, Ki-Ryong (Dept. of IT Convergence and Application Eng., Pukyong National University)

Abstract ▼ AI-Helper

Recently, smart lighting systems are the combination between sensors and lights. These systems turn on/off and adjust the brightness of lights based on the motion of object and the brightness of environment. These systems are often applied in places such as buildings, rooms, garages and parking lot. However, these lighting systems are controlled by lighting sensors, motion sensors based on illumination environment and motion detection. In this paper, we propose an automatic lighting control system using one single camera for buildings, rooms and garages. The proposed system is one integration the results of digital image processing as motion detection, hand gesture detection to control and dim the lighting system. The experimental results showed that the proposed system work very well and could consider to apply for automatic lighting spaces.

주제어

표/그림 (4)

그림 Fig. 1. The proposed system.
그림 Fig. 2. LED board implementation.
그림 Fig. 3. The scenario of the proposed system.
그림 Fig. 4. Experimental results, (a) with single objects, and (b) with multi objects.

AI 본문요약
AI-Helper

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제안 방법

On computer, camera will get video sequence to perform moving object detection and hand gesture recognition. And the system then finds corresponding LEDs to the position of moving object and hand gesture, and it then calculates the brightness of LEDs based on the brightness of the received images. The position and brightness of LEDs will be transferred to the LED board.
In this paper, we designed and experimented an automatic lighting control system using single camera, based on moving object detection, hand gesture recognition and the brightness of the received image. Our system is implemented and experimented on LED board.

대상 데이터

The proposed system includes one single camera, computer, one LED board which consists of the LED array and LED driver as shown in Fig. 1. When an object appears in camera zone, the camera will send video sequence to computer to perform video processing.

참고문헌 (6)

10.1109/CCTAE.2010.5544349 J. Dongying and W. Wei, “The Intelligent System for LED lighting Based on STCMCU”, in Proceeding of International Conference on Computer and Communication Technologies in Agriculture Engineering 2010, Chengdu, pp. 445-447, June 2010. 10.1109/CCTAE.2010.5544349
R. Singh, A. Bhardwaj, Y. Chauhan and R. Jain, “PWM Strategies in 32-Bit Micro controller for Interior White LED Down Panel”, International Journal of Computer Applications, vol. 58, no.22, pp. 25-32, Nov. 2012.
I. Hong, J. Byun, and S. Park, “Intelligent LED Lighting System with Route Prediction Algorithm for Parking Garage,” in Proceeding of 1st International Conference on Intelligent Systems and Applications, Chamonix, pp. 54-59, May, 2012.
10.1109/TCE.2010.5606275 Z. Hwang, Y. Uhm, Y. Kim, G. Kim, and S. Park, “Development of LED Smart Switch with Light-weight Middleware for Location-aware Services in Smart Home,” IEEE Transactions on Consumer Electronics, vol. 56, no. 3, pp. 1395-1402, August 2010. 10.1109/TCE.2010.5606275

상세보기
J. Heikkila and O. Silven, “A real-time system for monitoring of cyclists and pedestrians,” in Proceeding of 2nd IEEE Workshop on Visual Surveillance, Lausanne, pp. 74-81, June 1999.
I. Steinberg, T.-M. London, and D. Castro, “Hand Gesture Recognition in Images and Video,” Center For Communication and Information Technology, March, 2010.

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