Background subtraction under varying illumination
نویسندگان
چکیده
Background subtraction is widely used as an effective method for detecting moving objects in a video image. However, background subtraction requires a prerequisite in that image variation cannot be observed, and the range of application is limited. Proposed in this research paper is a method for detecting moving objects by using background subtraction that can be applied to cases in which the image has varied due to varying illumination. This method is based on two object detection methods that are based on different lines of thinking. One method compares the background image and the observed image using invariant features of illumination. The other method estimates the illumination conditions of the observed image and normalizes the brightness before carrying out background subtraction. These two methods are complementary, and highly precise detection results can be obtained by ultimately integrating the detection results of both methods. © 2006 Wiley Periodicals, Inc. Syst Comp Jpn, 37(4): 77–88, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/scj.10166
منابع مشابه
Spatial Hand Segmentation Using Skin Colour and Background Subtraction
Despite advances in hand detection and hand tracking, robust hand segmentation remains a challenging task in many gesture recognition systems. Problems can be caused by a variety of factors, such as changing illumination and background clutter. We compare the most commonly used visual cues for hand segmentation, namely skin colour and background subtraction, applied both separately and combined...
متن کاملMaking Background Subtraction Robust to Various Illumination Changes
Background subtraction is an important step used to segment moving regions in surveillance videos. Modern background subtraction techniques can handle gradual illumination changes but can easily be confused by rapid ones. In particular, varying illuminations cause significant changes in the representation of a scene in different spaces, which in turn results in the high levels of failure in suc...
متن کاملDetection of Objects Using Shadow Removal and Image Reconstruction
This project presents moving object detection based on background subtraction under complex wavelet transform domain for video surveillance system. The proposed approach has some advantages of background noise insensitiveness and invariant to varying illumination or lighting conditions. It also involves background updating model based on current frame and previous background frame pixels compar...
متن کاملRobust techniques for background subtraction in urban traffic video
Identifying moving objects from a video sequence is a fundamental and critical task in many computer-vision applications. A common approach is to perform background subtraction, which identifies moving objects from the portion of a video frame that differs significantly from a background model. There are many challenges in developing a good background subtraction algorithm. First, it must be ro...
متن کاملRobust moving object detection under complex background
We present a novel method to robustly and efficiently detect moving object, even under the complexity background, such as illumination changes, long shadows etc. This work is distinguished by three key contributions. The first is the integration of the Local Binary Pattern texture measure which extends the moving object detection work for light illumination changing. The second is the introduct...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Systems and Computers in Japan
دوره 37 شماره
صفحات -
تاریخ انتشار 2006