Traffic Light Detection Considering Color Saturation Using In-Vehicle Stereo Camera

• Item type: Journal(1)
• 公開日: 2016-03-15
• タイトル: Traffic Light Detection Considering Color Saturation Using In-Vehicle Stereo Camera
• タイトル / 言語: en
• タイトル: Traffic Light Detection Considering Color Saturation Using In-Vehicle Stereo Camera
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [特集：学生・若手研究者論文] intelligent transportation systems, traffic light detection, stereo camera, image processing
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Graduate School of Engineering, Tohoku University／Presently with Hitachi Automotive Systems, Ltd.
• 著者所属: Graduate School of Engineering, Tohoku University
• 著者所属: Sendai National Collage of Technology
• 著者所属: Graduate School of Engineering, Tohoku University
• 著者所属(英): en
• 著者所属(英): Graduate School of Engineering, Tohoku University / Presently with Hitachi Automotive Systems, Ltd.
• 著者所属(英): en
• 著者所属(英): Graduate School of Engineering, Tohoku University
• 著者所属(英): en
• 著者所属(英): Sendai National Collage of Technology
• 著者所属(英): en
• 著者所属(英): Graduate School of Engineering, Tohoku University
• 著者名: Hiroki, Moizumi; Yoshihiro, Sugaya; Masako, Omachi; Shinichiro, Omachi
• 著者名(英): Hiroki, Moizumi; Yoshihiro, Sugaya; Masako, Omachi; Shinichiro, Omachi
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: One of the major causes of traffic accidents according to the statistical report on traffic accidents in Japan is the disregard of traffic lights by drivers. It would be useful if driving support systems could detect and recognize traffic lights and give appropriate information to drivers. Although many studies on intelligent transportation systems have been conducted, the detection of traffic lights using images remains a difficult problem. This is because traffic lights are very small as compared to other objects and there are many objects similar to traffic lights in the road environment. In addition, the pixel colors of traffic lights are easily over-saturated, which renders traffic light detection using color information difficult. The rapid deployment of the new LED traffic lights has led to a new problem. Since LED lights blink at high frequency, if they are captured by a digital video camera, there are frames in which all the traffic lights appear to be turned off. It is impossible to detect traffic lights in these frames by searching the ordinary color of traffic lights. In this paper, we focus on the stable detection of traffic lights, even when they are blinking or when their colors are over-saturated. A method for detecting candidate traffic lights utilizing intensity information together with color information is proposed for handling over-saturated pixels. To exclude candidates that are not traffic lights efficiently, the sizes of the detected candidates are calculated using a stereo image. In addition, we introduce tracking with a Kalman filter to avoid incorrect detection and achieve stable detection of blinking lights. The experimental results using video sequences taken by an in-vehicle stereo camera verify the efficacy of the proposed approaches.; \n------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.24(2016) No.2 (online); DOI http://dx.doi.org/10.2197/ipsjjip.24.349; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: One of the major causes of traffic accidents according to the statistical report on traffic accidents in Japan is the disregard of traffic lights by drivers. It would be useful if driving support systems could detect and recognize traffic lights and give appropriate information to drivers. Although many studies on intelligent transportation systems have been conducted, the detection of traffic lights using images remains a difficult problem. This is because traffic lights are very small as compared to other objects and there are many objects similar to traffic lights in the road environment. In addition, the pixel colors of traffic lights are easily over-saturated, which renders traffic light detection using color information difficult. The rapid deployment of the new LED traffic lights has led to a new problem. Since LED lights blink at high frequency, if they are captured by a digital video camera, there are frames in which all the traffic lights appear to be turned off. It is impossible to detect traffic lights in these frames by searching the ordinary color of traffic lights. In this paper, we focus on the stable detection of traffic lights, even when they are blinking or when their colors are over-saturated. A method for detecting candidate traffic lights utilizing intensity information together with color information is proposed for handling over-saturated pixels. To exclude candidates that are not traffic lights efficiently, the sizes of the detected candidates are calculated using a stereo image. In addition, we introduce tracking with a Kalman filter to avoid incorrect detection and achieve stable detection of blinking lights. The experimental results using video sequences taken by an in-vehicle stereo camera verify the efficacy of the proposed approaches.; \n------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.24(2016) No.2 (online); DOI http://dx.doi.org/10.2197/ipsjjip.24.349; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 57, 号 3, 発行日 2016-03-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764