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The hybrid localization method of straight line matching, corner matching and odometry is proposed to resolve the difficult localization problems of mobile robot operating in family indoor environment. Localization of robot is a challenge problem which involves of determining robot positioning relative to objects in the environment. The system is implemented using National Instrument Labview platform...
Based on the local keypoints extracted as salient image patches, an image can be described as a ??bag-of-visual-words (BoW)?? and this representation has appeared promising for object and scene classification. The performance of BoW features in semantic concept detection for large-scale multimedia databases is subject to various representation choices. In this paper, we conduct a comprehensive study...
In this paper, we formulate the feature clustering problem for vehicle detection and tracking as a general MAP problem and solve it using MCMC. The proposed approach exhibits two advantages over existing methods: general Bayesian model can handle arbitrary objective functions and MCMC guarantees global optimal solution. Our algorithm is validated on real-world traffic video sequences, and is shown...
In this paper, we propose a novel approach to automatically generating, instead of manually designing, discriminative visual features for face detection. The features are composed by multiple local features (e.g., Haar features), and such features can capture not only the local texture information but also their spatial configurations. Therefore, the proposed feature contains rich semantic information...
In order to extract traffic state information and provide decision support for traffic management, granular computing theory was applied in traffic information processing. Traffic information granule and its granularity were defined, and then a methodology that provides a framework of traffic management and decision-making was presented based on GrC. A method was proposed for traffic state information...
A thermally accelerated aging experiment was designed for simulating the actual environment of transformer insulation in service. Pulse current method was used to measure partial discharge of the test samples with different aging degrees. Four PD spectrums of PRPD model and its 29 features were extracted for aging condition assessment. Aging condition of oil-paper was defined and normalized into a...
This work presents a gesture recognition system via continuous maximum entropy (MaxEnt) training on accelerometer data. MaxEnt models are commonly learned using generalized iterative scaling (GIS), which is an iterative algorithm for most convex optimization problems.
This paper presents a novel ultrasonic sensing based face recognition system, which can complement traditional vision-based recognition due to its unobtrusiveness, low-cost and robust to environmental conditions. For different configurations of Transmitter-Receiver (TR) pairs, ultrasonic chirp signal is chosen as the transmitted signal and used to demodulate the echoes for face recognition. Features...
This paper presents a novel method for feature extraction based on the generalized entropy of the histogram formed by Euclidean distances, which is named distributive entropy of Euclidean distance (DEED in sort). DEED is a nonlinear measure for learning feature space, which provides the congregate and information measure of learning samples space. The ratio of between-class DEED to within-class DEED...
In this paper, we propose a novel gait recognition method, which applies to different viewing angles. In the method, difference motion slices that contain moving objects are extracted. With the difference motion slices we can get difference gait images, in which both static appearance shape information and dynamic information of habitual motion of the body can be expressed. Extensive experiments have...
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