An accuracy assessment method that integrates segmentation and classification accuracy is proposed to meet the requirements of object-based image analysis. Segmentation errors are measured by establishing the relation...
详细信息
We present a novel object tracking framework that can efficiently track such 2-D affine motions of the object image. A coarse-to-fine tracking strategy is explored in the tracking framework. Firstly, the object image ...
详细信息
Target tracking is highly nonlinear problem that has been successfully addressed in recent years using particle filtering method. However, the realization of particle filter has a large amount of calculation. In order...
详细信息
This paper proposes a particle swarm optimization(PSO) based particle filter(PF) tracking framework,the embedded PSO makes particles move toward the high likelihood area to find the optimal position in the state t...
详细信息
This paper proposes a particle swarm optimization(PSO) based particle filter(PF) tracking framework,the embedded PSO makes particles move toward the high likelihood area to find the optimal position in the state transition stage,and simultaneously incorporates the newest observations into the proposal distribution in the update *** the proposed approach,likelihood measure functions involving multiple features are presented to enhance the performance of model ***,the multi-feature weights are self-adaptively adjusted by a PSO algorithm throughout the tracking *** are three main ***,the PSO algorithm is fused into the PF framework,which can efficiently alleviate the particles degeneracy ***,an effective convergence criterion for the PSO algorithm is explored,which can avoid particles getting stuck in local minima and maintain a greater particle ***,a multi-feature weight self-adjusting strategy is proposed,which can significantly improve the tracking robustness and *** performed on several challenging public video sequences demonstrate that the proposed tracking approach achieves a considerable performance.
Stroke and heart attack,which could be led by a kind of cerebrovascular and cardiovascular disease named as atherosclerosis,would seriously cause human morbidity and *** is important for the early stage diagnosis and ...
详细信息
Stroke and heart attack,which could be led by a kind of cerebrovascular and cardiovascular disease named as atherosclerosis,would seriously cause human morbidity and *** is important for the early stage diagnosis and monitoring medical intervention of the *** stenosis is a classical atherosclerotic lesion with vessel wall narrowing down and accumulating plaques *** carotid artery of intima-media thickness(IMT)is a key indicator to the *** the development of computer assisted diagnosis technology,the imaging techniques,segmentation algorithms,measurement methods,and evaluation tools have made considerable *** imaging,being real-time,economic,reliable,and safe,now seems to become a standard in vascular assessment methodology especially for the measurement of *** review firstly attempts to discuss the clinical relevance of measurements in clinical practice at first,and then followed by the challenges that one has to face when approaching the segmentation of ultrasound ***,the commonly used methods for the IMT segmentation and measurement are ***,discussion and evaluation of different segmentation techniques are *** overview of summary and future perspectives is given finally.
Character information is hard to detect in billet scene images by CCD camera. In this paper, we present a method for detection of billet characters from measurements of recursive segmented image. This recursive segmen...
详细信息
This paper proposes a key management mechanism by DH distributed key tree for the DHT network, which is based on the DHT network routing mechanism and network topology structure. The scheme uses the DH algorithm for k...
详细信息
Online adaptive object tracking has been studied for years. These methods focus on dealing with the significant variation of object's appearance. However, over updating of the tracker may result in drifting proble...
详细信息
In recent years, the subspace learning methods based on the bidirectional two-dimensional are widely used in extracting features of face image. However, the existing bidirectional two-dimensional subspace learning met...
详细信息
In recent years, the subspace learning methods based on the bidirectional two-dimensional are widely used in extracting features of face image. However, the existing bidirectional two-dimensional subspace learning methods always assume that the numbers of two mapping matrices' projection vectors are equal. Although this can simplify the computation, it will possibly cause the following two questions: (1) Get rid of information with classification properties; (2) Reserve information without classification properties. In order to solve the problem, this paper proposes a method called Divisor method and use it in bidirectional two-dimensional subspace learning method. This method calculates the percentage loss of mapping matrix in both row and column directions firstly, and then use the Divisor method to select the numbers of two mapping matrices' projection vectors, which base on the principle of minimum total percentage loss. The experimental results on ORL and YALE face database show that the proposed method yields greater recognition accuracy while reduces the overall computational complexity.
A computational saliency model utilizing bio-inspired features for spatiotemporal saliency is presented in this paper. We first propose distributed opponent oriented energy for compact local dynamic texture descriptio...
详细信息
ISBN:
(纸本)9781467322164
A computational saliency model utilizing bio-inspired features for spatiotemporal saliency is presented in this paper. We first propose distributed opponent oriented energy for compact local dynamic texture description motivated by Human Vision System. Then, we integrate the derived motion characterization and a revised self-resemblance saliency framework. High effectiveness and efficiency of the proposed method is extensively demonstrated both qualitatively and quantitatively, for background subtraction in the cases of extremely dynamic scenes and camera jitter. In terms of the trade-off between accuracy and computation cost, our method achieves competitive results in contrast to the state-of-art algorithm.
暂无评论