Moving Shadow Removal for Object Tracking
khalifa, mohamed essam; Mohamed Taha; Hala H. Zayed; Taymoor Nazmy;
Abstract
Identifying moving objects from a video scene is a
fundamental and critical task in object tracking. However,
shadows extracted along with the objects can result in large
errors in object localization and recognition. Despite many
attempts, the problem remains largely unsolved due to several
challenges. Since cast shadows can be as big as the actual objects,
their incorrect classification as foreground results in inaccurate
detection and decreases tracking performance. Hence, an
effective method for shadow detection and removal is required
significantly to provide urgent support and to reduce the effects
of incorrect object tracking.
In this paper, an efficient method for removing cast shadow from
vehicles is proposed. The method works by applying a Gamma
decoding followed by a thresholding operation and employing the
estimated background model of the video sequence. A number of
experiments has been performed. The results revealed the
proposed algorithm is efficient and leading to improved tracking
process
fundamental and critical task in object tracking. However,
shadows extracted along with the objects can result in large
errors in object localization and recognition. Despite many
attempts, the problem remains largely unsolved due to several
challenges. Since cast shadows can be as big as the actual objects,
their incorrect classification as foreground results in inaccurate
detection and decreases tracking performance. Hence, an
effective method for shadow detection and removal is required
significantly to provide urgent support and to reduce the effects
of incorrect object tracking.
In this paper, an efficient method for removing cast shadow from
vehicles is proposed. The method works by applying a Gamma
decoding followed by a thresholding operation and employing the
estimated background model of the video sequence. A number of
experiments has been performed. The results revealed the
proposed algorithm is efficient and leading to improved tracking
process
Other data
Title | Moving Shadow Removal for Object Tracking | Authors | khalifa, mohamed essam ; Mohamed Taha; Hala H. Zayed; Taymoor Nazmy | Keywords | Shadow Removal;Shadow Detection;Moving Shadow Removal;Object Tracking;Cast Shadow Removal | Issue Date | Dec-2013 | Publisher | ICICIS | Conference | Sixth International Conference on Intelligent Computing and Information Systems |
Attached Files
File | Description | Size | Format | Existing users please Login |
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Moving Shadow Removal for Object Tracking.pdf | 1.19 MB | Adobe PDF | Request a copy |
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