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Gait analysis aims to study human motion and its potential association with chronic diseases, such as Parkinson's disease and hemiplegic paralysis, by extracting various gait characteristics. It has been a challenging problem to accurately extract temporal and spatial gait parameter and to explore the relationship between gait signal and a disease of interest. In this study, we introduce a gait sensing...
Scene text detection is an important research problem in computer vision community. It has great application value in many fields. Inspired by Faster-RCNN which is a popular method for object detection, we consider to apply the Regional Proposal Network (RPN) method for scene text detection because text can be regarded as the common object. The core of RPN is to detect different sizes of objects with...
In this paper, real-time recognition and tracking of multiple similar targets at 6-DOF motion is studied. A real-time multi-target recognition algorithm is proposed and implemented based on Marker to solve the difficult problem of distinguishing multiple similar targets. Because the lighting conditions of markers at 6-DOF motion are widely changeable, existing marker recognition algorithms are sensitive...
Using Kinect acquired RGB-D image to obtain a face feature parameters and three-dimensional coordinates of the characteristic parameters, and to select the characteristic parameter Facial by Candide-3 model, and feature extraction and normalization. Smile face expression data collection through Kinect, SVM collected to smiley face data classify and output the result of recognition, and the results...
This paper proposes a static-dynamic hybrid malware detecting scheme for Android applications. While the static analysis could be defeated by transformation technique sometimes and dynamic analysis needs a high complexity, the suggested methods can automatically deliver an unknown App to static or dynamic analysis path according to whether the Android App can be decompiled(its feature) which overcomes...
Route backtracking has been applied in many fields, especially in tracing criminal cars. However, because of weak light, shading or shelter, plate numbers are unable to be recognized and the vehicle cannot be traced. So, this paper put forwards a route backtracking method based on video data and road network. the method get routes information by means of vehicles features extraction and matching method...
This paper proposes an approach to infer neural interactions from EEG data using a James-Stein estimator of directed information called shrinkage optimized directed information assessment (SODA). SODA uses shrinkage regularization on empirical histograms to deal with the high dimensionality of multi-channel EEG signals and the small sizes of many real-world datasets. It is designed to make few a priori...
As the result of the requirements of accuracy and speediness of indoor localization algorithm, we improved the performance of corner detection algorithm. In this paper, the theory of multi-scale is introduced into the classical harris algorithm, and detects local maximum points at each scale level. This method might overcome the drawback that the single-scale harris detector usually leads to either...
The widespread utilization of digital visual media has motivated many research efforts towards efficient search and retrieval from large photo collections. Traditionally, SIFT feature-based methods have been widely used for matching photos taken at particular locations or places of interest. These methods are very time-consuming due to the complexity of the features and the large number of images...
This paper presents a novel system for image retrieval and classification based on a robust multi-dimensional view invariant representation and a linear classifier algorithm. Specifically, multi-dimensional null space invariant (NSI) matrix representation has been derived. Moreover, the robustness of null space representation has been investigated with perturbation analysis in terms of the error ratio...
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