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This paper proposes a moving object detection algorithm for a monocular dashcam mounted on a vehicle. To deal with dynamic changes of the scene from the dashcam, we propose a new scheme inspired by human-attention inclination for change detection. Humans do not build a detailed visual representation and perceive a change of the scene based on the structure of an interesting region. In this perspective,...
In this paper, we propose a novel selective search method to speed up the object detection via category-based attention scheme. The proposed attentional searching strategy is designed to focus on a small set of selected regions where the object category is expected to exist. The selected regions are estimated by mimicking three properties of the attentional scheme of human visual perception: spotlighting...
This paper presents a novel method for modeling of interaction among multiple moving objects to detect traffic accidents. The proposed method to model object interactions is motivated by the motion of water waves responding to moving objects on water surface. The shape of the water surface is modeled in a field form using Gaussian kernels, which is referred to as the Motion Interaction Field (MIF)...
In this paper, we propose a framework which self-organizes the cascaded object detection filters for fast object detection with maintaining high accuracy. The proposed scheme consists of root and part filter modules, which are cascaded in a self-organizing structure. The pruning of non-object regions in low resolution at the root cascade stage is critical for the object detection speed. At root stage,...
This paper presents an online data association approach to handle new detection and missing detection problems of multiple people tracking in crowded scenes. The key contribution of our paper includes two aspects: one is automatic initiation of tracking models for newly appeared detections and the other is selective update of tracking models for missing detections by occlusions. For the automatic...
As the operating frequency of electronic devices increases and system miniaturization continues, designing power delivery networks (PDNs) that supply quality power throughout the system becomes very challenging. To guarantee successful performance of the PDN, an accurate and time-efficient simulation method that computes the PDN impedance is required. In this paper, we propose a computationally efficient...
This paper proposes a trajectory analysis method by handling the spatio-temporal property of trajectory. Not using similarity measures of two trajectories, our model analyzes overall path of a trajectory. Learning of spatio property is presented as semantic regions (e.g. go straight, turn left, turn right) that are clustered effectively using topic model. The temporal order of observations on a trajectory...
We present a novel approach for detecting and localizing abnormal traffic using intelligent driver model. Specifically, we advect particles over video sequence. By treating each particle as a car, we compute driver behavior using intelligent driver model. The behaviors are learned using latent dirichlet allocation and frames are classified as abnormal using likelihood threshold criteria. In order...
This paper deals with magnetic field computation of axial flux permanent magnet (AFPM) machines with Halbach and axial magnetized rotor using quasi-3-D analysis modeling. On the basis of magnetic vector potential and polar-coordinate system, the magnetic field solutions due to Halbach and axially magnetized PM rotor are obtained. In particular, 3-D problem, that is, the reduction of magnetic fields...
The growing demand for a Semantic Web is focusing attention on Semantic Web trials that use a huge relational database (RDB), which is the backbone of IT. The resource description framework (RDF) is a language system that enables the information of resources on the Web to be written clearly and logically. Correct writing and use of the RDF are the core of the Semantic Web. It is possible to build...
In this paper, a novel formulation for the modeling of multi-layer package power/ground planes has been proposed. The formulation is developed by first applying the finite element method (FEM) for a single plane-pair geometry, from which a SPICE-compatible equivalent circuit is extracted. Next, the admittance matrices obtained for individual plane-pairs are coupled together, to extend the technique,...
The common criteria for information technology security evaluation (CC) is an international standard for evaluating secure computer systems. To obtain high evaluation assurance level, CC requires formalism in the development class. In the security policy modeling of CC v3.1, the use of formal methods is mandatory. This paper gives a guideline for developing formal security policy model with Z notation...
In this paper, we propose a hierarchical mode decision method for intraframe coding to reduce the computational complexity of the encoder, based on the spatial characteristics. The simulation results show that the proposed algorithm achieves 20% to 50% reduction in the computational complexity compared with the conventional algorithms.
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