Performance of optical flow techniques
International Journal of Computer Vision
Accuracy vs efficiency trade-offs in optical flow algorithms
Computer Vision and Image Understanding
Computer Vision and Image Understanding - Special issue on empirical evaluation of computer vision algorithms
Color-Based Probabilistic Tracking
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Contour-Based Object Tracking with Occlusion Handling in Video Acquired Using Mobile Cameras
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance evaluation of object detection and tracking in video
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
FPGA-based real-time optical-flow system
IEEE Transactions on Circuits and Systems for Video Technology
FPGA-Based Anomalous Trajectory Detection Using SOFM
ARC '09 Proceedings of the 5th International Workshop on Reconfigurable Computing: Architectures, Tools and Applications
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
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The problem of object tracking is of considerable interest in the scientific community and it is still an open and active field of research. In this paper we address the comparison of two different specific purpose architectures for object tracking based on motion and colour segmentation. On one hand, we have developed a new multi-object segmentation device based on an existing optical flow estimation system. This architecture allows video tracking of fast moving objects based on high speed acquisition cameras. On the other hand, the second approach consists on real time filtering of chromatic components. Multiobject tracking is performed based on segmentation of pixel neighbourhoods according to a predefined colour. In this contribution we evaluate the two methods, comparing their performance, resource consumption and finally, we discuss which architecture fits better in different working scenarios.