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Investigations on Multi-Sensor Image System and its Surveillance Applications (Paperback)
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Investigations on Multi-Sensor Image System and its Surveillance Applications (Paperback)
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This thesis investigates the issues of implementing multi-sensor
imaging system for surveillance applications. Three topics for the
fusion of infrared and electro-optic images are studied, i.e.
registration, fusion, and evaluation. The first topic is the image
registration or alignment, which is to associate corresponding
pixels in multiple images to the same physical point in the scene.
A trajectory-based method for registering infrared and
electro-optic video sequences is proposed in this study. The
initial registration parameters are derived from matching the
trajectories across the consecutive video frames. Further
refinement can be carried out by applying a maximum mutual
information approach. The frame difference, from which the feature
point is detected, is found with an image structural similarity
measurement. The second topic is the implementation of pixel-level
fusion. Two applications are considered in this study. Motivated by
the adaptive enhancement, a modified pixel-level fusion scheme is
proposed to implement the context enhancement. A visual image is
first enhanced with the corresponding infrared image. Then, the
enhanced image is fused with the visual image again to highlight
the background features. This achieves a context enhancement most
suitable for human perception. As the application of multi-sensor
concealed weapon detection (CWD) is concerned, this thesis
clarifies the requirements and concepts for CWD. How the CWD
application can benefit from multi-sensor fusion is identified and
a framework of multi-sensor CWD is proposed. A solution to
synthesize a composite image from infrared and visual image is
presented with experimental results. The synthesized image, on one
hand provides both the information of personal identification and
the suspicious region of concealed weapons; on the other hand
implements the privacy protection, which appears to be an important
aspect of the CWD process. The third topic is about the fusion
performance assessment. In this study, the evaluation metrics are
developed for reference-based assessment and blind assessment
respectively. An absolute measurement of image features, namely
phase congruency, is employed. Future work should include the
reliability and optimization study of multiple image sensors from
applications' and human perception-related perspectives. This
thesis is a contribution to such research.
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