Adaptive Shadow Detection Using a Blackbody Radiator Model
نویسندگان
چکیده
منابع مشابه
Scene Adaptive Shadow Detection Algorithm
Robustness is one of the primary performance criteria for an Intelligent Video Surveillance (IVS) system. One of the key factors in enhancing the robustness of dynamic video analysis is, providing accurate and reliable means for shadow detection. If left undetected, shadow pixels may result in incorrect object tracking and classification, as it tends to distort localization and measurement info...
متن کاملAdaptive Moving Cast Shadow Detection
Moving object detection is an important task in real-time video surveillance. However, in real scenario, moving cast shadows associated with moving objects may also be detected, making moving cast shadow detection a challenge for video surveillance. In this paper, we propose an adaptive shadow detection method based on the cast shadow model. The method combines ratio edge and ratio brightness, ...
متن کاملShadow Detection Using Tricolor Attenuation Model Enhanced with Adaptive Histogram Equalization
Shadows create significant problems in many computer vision and image analysis tasks such as object recognition, object tracking, and image segmentation. For a machine, it is very difficult to distinguish between a shadow and a real object. As a result, an object recognition system may incorrectly recognize a shadow region as an object. So the detection of shadows in images will enhance the per...
متن کاملAn inexpensive blackbody model
A blackbody is a fundamental concept in thermography. A perfect model of blackbody is characterized by emissivity =1 which is difficult to be obtained. There are black body simulators which are being used for calibration of infrared devices. Commercial solutions of blackbody simulators are based on mathematical models of cavity or surface blackbodies and their emissivity is closer to unity e.g....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Geoscience and Remote Sensing
سال: 2011
ISSN: 0196-2892,1558-0644
DOI: 10.1109/tgrs.2010.2096515