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Article
Modeling driving task-relevant attention for intelligent vehicles using triplet ranking
Understanding the driving task-relevant attention (i.e. when to pay more attention?) is beneficial for improved safety in intelligent vehicles. Modeling driving task-relevant attention is challenging because i...
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Article
High Definition Map Aided Object Detection for Autonomous Driving in Urban Areas
Detecting object locations and semantic classes in an image, such as traffic signs, traffic lights, and guide signs, is the crucial problem for autonomous driving, known as object detection. However, stable ob...
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Article
Visual and Positioning Information Fusion Towards Urban Place Recognition
Recognizing unfamiliar places is a challenging task for humans. Smartphones equipped with sensors (i.e., camera, GPS) and advancements in computer vision provide various opportunities for creating intelligent ...
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Chapter and Conference Paper
Road Scene Risk Perception for Intelligent Vehicles Using End-to-End Affordance Learning and Visual Reasoning
A key goal of intelligent vehicles is to provide a safer and more efficient method of transportation. One important aspect of intelligent vehicles is to understand the road scene using vehicle-mounted camera i...
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Article
Integral customer pose estimation using body orientation and visibility mask
The analysis of customer pose is one of the most important topics for marketing. Using the customer pose information, the retailers can evaluate the customer interest level to the merchandise. However, the pos...
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Article
Customer pose estimation using orientational spatio-temporal network from surveillance camera
The analysis of customer pose draws more and more attention of retailers and researchers, because this information can reveal the customer habits and the customer interest level to the merchandise. In the ret...
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Article
Customer behavior classification using surveillance camera for marketing
The analysis of customer behavior from surveillance camera is one of the most important open topics for marketing. Traditionally, retailers use the records of cash registers or credit cards to analyze the buyi...
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Article
Optimization of 3D building models by GPS measurements
Recently, 3D building models have become an important aid to many positioning methods such as LiDAR and GPS positioning. Creating an accurate 3D building model requires accurate 2D building boundaries. We prop...
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Article
3D building model-based pedestrian positioning method using GPS/GLONASS/QZSS and its reliability calculation
The current low-cost global navigation satellite systems (GNSS) receiver cannot calculate satisfactory positioning results for pedestrian applications in urban areas with dense buildings due to multipath and ...
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Article
Estimation of Pedestrian Pose and Orientation Using on-Board Camera with Histograms of Oriented Gradients Features
Understanding pedestrian behavior, including head and body orientation, is important for a pedestrian safety system. In this paper, we propose an approach that estimates head pose and body orientation by consi...
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Article
GPS Error Correction by Multipath Adaptation
From the point of view of safety applications, accurate and reliable positioning system for road users is the most important part. Although GPSs are the most widely utilized technology today, they still have t...
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Article
Framework Study on Behavior Understandings Based on Posture and Location State Transition for Railway Station Security
Behavior understanding is an essential technique for automated surveillance. In this paper, we propose methods for recognition of pedestrian states and construct behavior understanding framework for railway st...
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Article
On-board Pedestrian Detection by the Motion and the Cascaded Classifiers
This paper presents a general algorithm for pedestrian detection by on-board monocular camera, which can be applied to cameras of various viewing angle. The foreground objects which have discriminative motion-...
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Article
Open AccessIncident Detection in Heavy Traffics in Tunnels by the Interlayer Feedback Algorithm
In this paper, we developed video surveillance system to detect incidents from heavy traffics in tunnels. Incidents in tunnels may cause additional accidents or fires that may result in fatal disaster. Therefo...
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Article
Pedestrian Tracking Across Panning Camera Network
Video surveillance technology is getting important today, in order to maintain the safety of pedestrians passing through public spaces. Tracking pedestrians across the camera network is important to understand...
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Article
Semantic video database system with semi-automatic secondary-content generation capability
A semantic video database system, based on an interactive approach that maps low-level features to high-level concepts, is proposed. A database of ontological semantic object models allows the user to get info...
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Chapter and Conference Paper
Movie Content Retrieval and Semi-automatic Annotation Based on Low-Level Descriptions
In this paper, we present a semantic retrieval and semi-automatic annotation system for movies, based on the regional features of video images. The system uses a 5-dimensional GBD-tree structure to organize th...
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Chapter and Conference Paper
Segmentations of Spatio-Temporal Images by Spatio-Temporal Markov Random Field Model
There have been many successful researches on image segmentations that employ Markov Random Field model. However, most of them were interested in two-dimensional MRF, or spatial MRF, and very few researches ar...
