This technique can be used in Internet image searching, intelligent video, and security and surveillance applications.
A bio-inspired shape feature of an object of interest emulates the integration of the saccadic eye movement and horizontal layer in vertebrate retina for object recognition search where a single object can be used one at a time. The optimal computational model for shape-extraction-based principal component analysis (PCA) was also developed to reduce processing time and enable the real-time adaptive system capability. A color feature of the object is employed as color segmentation to empower the shape feature recognition to solve the object recognition in the heterogeneous environment where a single technique — shape or color — may expose its difficulties. To enable the effective system, an adaptive architecture and autono mous mechanism were developed to recognize and adapt the shape and color feature of the moving object.
Color and Shape Feature Feedback Adaptive architecture." class="caption" align="right">The bio-inspired object recognition
based on bio-inspired shape and color
can be effective to recognize a person of
interest in the heterogeneous environment
where the single technique
exposed its difficulties to perform effective
recognition. Moreover, this work
also demonstrates the mechanism and
architecture of the autonomous adaptive
system to enable the realistic system
for the practical use in the future.
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