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Aiming at the problem of low target recognition rate on the battlefield of armored troops, the practical application of vehicle-borne radar moving target recognition is briefly described, and the concept of recognition by micro-Doppler feature is introduced in this paper. The research history, current situation and development trend of ground and low altitude target recognition based on micro-Doppler...
Feature-points based time series approximation representation utilizes the tendency information, but lacks consideration of the details. DTW (Dynamic Time Warping) based similarity measurement eliminates the time line warp, but computation complexity is high. Based on feature-points and DTW, this paper proposed a hybrid time series matching algorithm. Firstly, we extracted the feature-points of time...
In order to enhance the instantaneity of SLAM for indoor mobile robot, a RGBD SLAM method based on Kinect was proposed. In the method, oriented FAST and rotated BRIEF(ORB) algorithm was combined with progressive sample consensus(PROSAC) algorithm to execute feature extracting and matching. More specifically, ORB algorithm which has better property than many other feature descriptors was used for extracting...
Online Health Communities (OHCs) have become a major source of social support for people with health problems. Using a case study of an OHC among breast cancer survivors, we revealed the types of social support embedded in each post using text-mining techniques. Then we aggregated users' activities related to different types of social support and identified different roles that users play in an OHC...
In this paper, we present and evaluate the use of a Fiedler embedding representation for multi-label classification of social media. Networked data, such as data from social media, contains instances of multiple types that are related through different types of links. The network structure causes these data instances to no longer remain independently identically distributed (i.i.d.). Relational learning...
A reverse transformation method based on the projective area overlapping has been presented for the surface matching in the application of automotive styling from 2-D to 3-D. The matching criteria and the objective function have also been discussed and used in the simulation matching. The simple evolutionary strategy has been implemented into the system and evaluated to realise the optimal matching...
Due to their ability to model sequential data without making unnecessary independence assumptions, conditional random fields (CRFs) have become an increasingly popular discriminative model for human activity recognition. However, how to represent signal sensor data to achieve the best classification performance within a CRF model is not obvious. This paper presents a framework for extracting motif...
Due to the complexity in structure and the various distortions in different styles of Chinese characters, it is more suitable to use a structural matching algorithm for computer recognition of Chinese characters. Relaxation matching is a powerful technique which can tolerate considerable distortion. In this paper, we apply a new relaxation matching technique to character recognition based on constraint...
In this paper, shot boundary detection (SBD) algorithm based on macroblock and DC image is presented. We get the macroblock type information and simultaneously extract DC images from MPEG compressed domain. The statistics of macroblock type information is applied to coarse detection, and DC images are applied to scrutiny detection. The results of experiments show that our algorithm is efficient, and...
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