Robust Object Tracking Via Active Feature Selection
نویسندگان
چکیده
منابع مشابه
Object Tracking via Dynamic Feature Selection Processes
We propose an optimized visual tracking algorithm based on the real-time selection of locally and temporally discriminative features. A novel feature selection mechanism is embedded in the Adaptive Color Names [2] (ACT) tracking system that adaptively selects the top-ranked discriminative features for tracking. The Dynamic Feature Selection Tracker (DFST) provides a significant gain in accuracy...
متن کاملRobust Feature-based Object Tracking
Object tracking is an important component of many computer vision systems. It is widely used in video surveillance, robotics, 3D image reconstruction, medical imaging, and human computer interface. In this paper, we focus on unsupervised object tracking, i.e., without prior knowledge about the object to be tracked. To address this problem, we take a feature-based approach, i.e., using feature p...
متن کاملObject Tracking Using Discriminative Feature Selection
This paper presents an approach for evaluating multiple color histograms during object tracking. The method adaptively selects histograms that well distinguish foreground from background. The variance ratio is utilized to measure the separability of object and background and to extract top-ranked discriminative histograms. Experimental results demonstrate how this method adapts to changing appe...
متن کاملRobust visual tracking using feature selection
Visual tracking has become a very important component in computer vision, but achieving a robust, reliable and real time tracking remains a real challenge. In order to improve the actual state-of-the-art, we choose to study and improve one of the most performing adaptive tracker by detection. We selected Struck [27] for this quality performance and his low computational cost that makes it real ...
متن کاملHybrid Feature and Adaptive Particle Filter for Robust Object Tracking
A hybrid feature based adaptive particle filter algorithm is presented for object tracking in real scenarios with static camera. The hybrid feature is combined by two effective features: the Grayscale Arranging Pairs (GAP) feature and the color histogram feature. The GAP feature has high discriminative ability even under conditions of severe illumination variation and dynamic background element...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Circuits and Systems for Video Technology
سال: 2013
ISSN: 1051-8215,1558-2205
DOI: 10.1109/tcsvt.2013.2269772