face expression recognition is useful for designing new interactive devices offering the possibility of new ways for human to interact with computer systems. in this paper we develop a facial expressions analysis and synthesis system. the analysis part of the system is based on the facial features extracted from facial feature points (ffp) in frontal image sequences. selected facial feature poi...

This paper presents an improved maximum power point tracking (MPPT) algorithm using a fuzzy logic controller (FLC) in order to extract potential maximum power from photovoltaic cells. The objectives of the proposed algorithm are to improve the tracking speed, and to simultaneously solve the inherent drawbacks such as slow tracking in the conventional perturb and observe (P and O) algorithm. The...

* This work is supported by NSF Grant #10672045 to Yu Kaiping Abstract—The key of fast identification algorithm of time-varying modal parameter based on subspace tracking is to find efficient and fast subspace-tracking algorithm. This paper presents a modified version of NIC(Novel Information Criterion) adopted in two-layer linear neural network learning for subspace tracking, which is applied ...

We present a multiple object tracking framework that employs two common methods for tracking and image matching, namely, Multiple Hypothesis Tracking (MHT) and Hausdorff image matching. We use MHT algorithm to track image edges simultaneously. MHT algorithm is capable of tracking multiple edges with limited occlusions and is suitable for resolving any data association uncertainty caused by back...

Abstract In the new MPEG-4 video coding standard, the semi -automatic video segmentation plays a key role in supporting object-oriented coding and enabling content-based functionalities. A novel hierarchy optical flow based semi -automatic video segmentation method is presented in this paper. The proposed segmentation method contains spatial and temporal segmentation. For the spatial segmentati...

In this paper, by analyzing the characteristics of infrared moving targets, a Symmetric Frame Differencing Target Detection algorithm based on local clustering segmentation is proposed. In consideration of the high real-time performance and accuracy of traditional symmetric differencing, this novel algorithm uses local grayscale clustering to accomplish target detection after carrying out symme...

An adaptive-update-rate target-tracking algorithm is indeed a developed version of constant-update-rate tracking algorithms. The update rate is closely related with the level of target maneuvering and the required quality of tracking performance— the shorter the time intervals between two successive updates, the better the radar resources are made use of. Considering the needs of the phased-arr...

According to the defects of KNN(K-Nearest Neighbor) algorithm and SVM(Support Vector Machine) algorithm in tracking a moving target such the large consumption and the low accuracy of target tracking error, a tracking model of moving target is proposed based on the combination of KNN algorithm and SVM algorithm with minimum distance optimization. First categories divided according to the princip...

Aimed to problem that particles exist degradation in particle filter (PF) algorithm for target tracking which is used in Wireless Sensor Networks, a new particle filter target tracking algorithm (GPF) based on genetic algorithm was proposed in this paper. First, based on the description of the PF algorithm, the factors that affect the degradation were analyzed, which were importance function an...

In this paper we propose an algorithm for tracking multiple ROI (region of interest) undergoing non-rigid transformations. Demon's algorithm based on the idea of Maxwell's demon, has been applied here to estimate the displacement field for tracking of multiple ROI. This algorithm works on pixel intensities of the sequence of images thus making it suitable for tracking objects/regions undergoing...