FPGA-Based Anomalous Trajectory Detection Using SOFM
ARC '09 Proceedings of the 5th International Workshop on Reconfigurable Computing: Architectures, Tools and Applications
Color texture segmentation based on the modal energy of deformable surfaces
IEEE Transactions on Image Processing
VLSI implementation of image segmentation processor for brain MRI
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India
Object tracking on FPGA-based smart cameras using local oriented energy and phase features
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Feature extraction using reconfigurable hardware
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part II
An embedded software-reconfigurable color segmentation architecture for image processing systems
Microprocessors & Microsystems
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A novel algorithm for object tracking in video pictures, based on image segmentation and pattern matching, as well as its FPGA/ASIC implementation architecture are presented. With image segmentation, we can detect all objects in the images no matter whether they are moving or not. Using image segmentation results of successive frames, we exploit pattern matching in a simple object feature space for tracking of objects. The proposed algorithm can be applied to multiple moving and still objects even in the case of a moving camera. The FPGA/ASIC implementation architecture is verified to enable realtime tracking of up to 220 objects, when realized with modern FPGA hardware [1].