Convolutional Neural Network-Based Shadow Detection in Images Using Visible Light Camera Sensor
Recent developments in intelligence surveillance camera systems have enabled more research on the detection, tracking, and recognition of humans. Such systems typically use visible light cameras and images, in which shadows make it difficult to detect and recognize the exact human area. Near-infrare...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/18/4/960 |
| _version_ | 1797999475129581568 |
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| author | Dong Seop Kim Muhammad Arsalan Kang Ryoung Park |
| author_facet | Dong Seop Kim Muhammad Arsalan Kang Ryoung Park |
| author_sort | Dong Seop Kim |
| collection | DOAJ |
| description | Recent developments in intelligence surveillance camera systems have enabled more research on the detection, tracking, and recognition of humans. Such systems typically use visible light cameras and images, in which shadows make it difficult to detect and recognize the exact human area. Near-infrared (NIR) light cameras and thermal cameras are used to mitigate this problem. However, such instruments require a separate NIR illuminator, or are prohibitively expensive. Existing research on shadow detection in images captured by visible light cameras have utilized object and shadow color features for detection. Unfortunately, various environmental factors such as illumination change and brightness of background cause detection to be a difficult task. To overcome this problem, we propose a convolutional neural network-based shadow detection method. Experimental results with a database built from various outdoor surveillance camera environments, and from the context-aware vision using image-based active recognition (CAVIAR) open database, show that our method outperforms previous works. |
| first_indexed | 2024-04-11T11:05:17Z |
| format | Article |
| id | doaj.art-82493d126ac5459bba2d9d5d5c1b453a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T11:05:17Z |
| publishDate | 2018-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-82493d126ac5459bba2d9d5d5c1b453a2022-12-22T04:28:24ZengMDPI AGSensors1424-82202018-03-0118496010.3390/s18040960s18040960Convolutional Neural Network-Based Shadow Detection in Images Using Visible Light Camera SensorDong Seop Kim0Muhammad Arsalan1Kang Ryoung Park2Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-Ro 1-Gil, Jung-Gu, Seoul 100-715, KoreaDivision of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-Ro 1-Gil, Jung-Gu, Seoul 100-715, KoreaDivision of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-Ro 1-Gil, Jung-Gu, Seoul 100-715, KoreaRecent developments in intelligence surveillance camera systems have enabled more research on the detection, tracking, and recognition of humans. Such systems typically use visible light cameras and images, in which shadows make it difficult to detect and recognize the exact human area. Near-infrared (NIR) light cameras and thermal cameras are used to mitigate this problem. However, such instruments require a separate NIR illuminator, or are prohibitively expensive. Existing research on shadow detection in images captured by visible light cameras have utilized object and shadow color features for detection. Unfortunately, various environmental factors such as illumination change and brightness of background cause detection to be a difficult task. To overcome this problem, we propose a convolutional neural network-based shadow detection method. Experimental results with a database built from various outdoor surveillance camera environments, and from the context-aware vision using image-based active recognition (CAVIAR) open database, show that our method outperforms previous works.http://www.mdpi.com/1424-8220/18/4/960intelligence surveillance camerashadow detectioncolor featureCNN |
| spellingShingle | Dong Seop Kim Muhammad Arsalan Kang Ryoung Park Convolutional Neural Network-Based Shadow Detection in Images Using Visible Light Camera Sensor Sensors intelligence surveillance camera shadow detection color feature CNN |
| title | Convolutional Neural Network-Based Shadow Detection in Images Using Visible Light Camera Sensor |
| title_full | Convolutional Neural Network-Based Shadow Detection in Images Using Visible Light Camera Sensor |
| title_fullStr | Convolutional Neural Network-Based Shadow Detection in Images Using Visible Light Camera Sensor |
| title_full_unstemmed | Convolutional Neural Network-Based Shadow Detection in Images Using Visible Light Camera Sensor |
| title_short | Convolutional Neural Network-Based Shadow Detection in Images Using Visible Light Camera Sensor |
| title_sort | convolutional neural network based shadow detection in images using visible light camera sensor |
| topic | intelligence surveillance camera shadow detection color feature CNN |
| url | http://www.mdpi.com/1424-8220/18/4/960 |
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