Computation of component image velocity from local phase information
International Journal of Computer Vision
Unsupervised texture segmentation using Gabor filters
Pattern Recognition
Orientational filters for real-time computer vision problems
Orientational filters for real-time computer vision problems
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stability of Phase Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Online Selection of Discriminative Tracking Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
ASP-DAC '06 Proceedings of the 2006 Asia and South Pacific Design Automation Conference
A dynamic reconfigurable hardware/software architecture for object tracking in video streams
EURASIP Journal on Embedded Systems
Real time architectures for moving-objects tracking
ARC'07 Proceedings of the 3rd international conference on Reconfigurable computing: architectures, tools and applications
Spatiotemporal oriented energy features for visual tracking
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Object tracking using the Gabor wavelet transform and the golden section algorithm
IEEE Transactions on Multimedia
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
Invariance properties of Gabor filter-based features-overview and applications
IEEE Transactions on Image Processing
A phase-based approach to the estimation of the optical flow field using spatial filtering
IEEE Transactions on Neural Networks
Independent component analysis of Gabor features for face recognition
IEEE Transactions on Neural Networks
A proposed FPGA architecture for mean shift based object tracking with bandwidth constrained sensors
International Journal of Intelligent Systems Technologies and Applications
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This paper presents the use of local oriented energy and phase features for real-time object tracking on smart cameras. In our proposed system, local energy features are used as spatial feature set for representing the target region while the local phase information are used for estimating the motion pattern of the target region. The motion pattern information of the target region is used for displacement of search area. Local energy and phase features are extracted by filtering the incoming images with a bank of complex Gabor filters. The effectiveness of the chosen feature set is tested using a mean-shift tracker. Our experiments show that the proposed system can significantly enhance the performance of the tracker in presence of photometric variations and geometric transformation. The real-time implementation of the system is also described in this paper. To achieve the desired performance, a hardware/software co-design approach is pursued. Apart from mean-shift vector calculation, the other blocks are implemented on hardware resources. The system was synthesized onto a Xilinx Virtex-5 XC5VSX50T using Xilinx ML506 development board and the implementation results are presented.