30 Result(s)
within
Takayoshi Yamashita
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Chapter and Conference Paper
Sensing, Perception and Decision for Deep Learning Based Autonomous Driving
Toward the realization of autonomous driving, deep learning has attracted the most attention, and it is seen as indispensable technology. AlexNet which consists of eight layers and incorporating ideas for impr...
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Chapter and Conference Paper
Survey on Vision-Based Path Prediction
Path prediction is a fundamental task for estimating how pedestrians or vehicles are going to move in a scene. Because path prediction as a task of computer vision uses video as input, various information used...
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Article
Relationship between asymptomatic intra-cranial lesions and brachial-ankle pulse wave velocity in coronary artery disease patients without stroke
Little is known about the significance of asymptomatic intra-cranial lesions (ICL) identified by brain MRI in coronary artery disease (CAD) patients. Silent cerebral lesions are suggested to be associated with...
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Chapter and Conference Paper
Word Recognition by Combining Outline Emphasis and Synthesize Background
Character recognition collects item keywords from images from e-commerce websites; however, it requires a huge amount of training data. In this paper, we propose an efficient method to collect the training dat...
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Chapter and Conference Paper
Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning
To estimate multiple face attributes, independent classifier for each attribute are trained such as facial point detection, gender recognition, and age estimation in the conventional approach. It is inefficien...
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Chapter and Conference Paper
Asymmetric Feature Representation for Object Recognition in Client Server System
This paper proposes asymmetric feature representation and efficient fitting feature spaces for object recognition in client server system. We focus on the fact that the server-side has more sufficient memory a...
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Chapter and Conference Paper
Incremental Learning of Hand Gestures Based on Submovement Sharing
This paper presents an incremental learning method for hand gesture recognition that learns the individual movements in each gesture of a user. To recognize the movement, we use a subunit-based dynamic time wa...
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Chapter and Conference Paper
A Subunit-Based Dynamic Time War** Approach for Hand Movement Recognition
A subunit-based Dynamic Time War** (DTW) approach is proposed for hand movement recognition. Two major contributions distinguish the proposed approach from conventional DTW. (1) A set of hand movement subuni...
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Chapter and Conference Paper
Human Pose Estimation Using Exemplars and Part Based Refinement
In this paper, we proposed a fast and accurate human pose estimation framework that combines top-down and bottom-up methods. The framework consists of an initialization stage and an iterative searching stage. ...
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Chapter and Conference Paper
Towards Robust Object Detection: Integrated Background Modeling Based on Spatio-temporal Features
We propose a sophisticated method for background modeling based on spatio-temporal features. It consists of three complementary approaches: pixel-level background modeling, region-level one and frame-level one...
