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Chapter and Conference Paper
Motion and Gray Based Automatic Road Segment Method MGARS in Urban Traffic Surveillance
This paper presents a novel method MGARS to automatic road area segmentation based on motion and gray feature for the purpose of urban traffic surveillance. The proposed method can locate road region by region...
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Chapter and Conference Paper
The PICA Framework for Performance Analysis of Pattern Recognition Systems and Its Application in Broadcast News Segmentation
In this paper, the performance influencing class analysis (PI-CA) framework is proposed for performance analysis of pattern recognition systems dealing with data with great variety and diversity. Through the P...
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Chapter and Conference Paper
Real-Time Plane Segmentation and Obstacle Detection of 3D Point Clouds for Indoor Scenes
Scene analysis is an important issue in computer vision and extracting structural information is one of the fundamental techniques. Taking advantage of depth camera, we propose a novel fast plane segmentation ...
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Chapter and Conference Paper
Related HOG Features for Human Detection Using Cascaded Adaboost and SVM Classifiers
Robust and fast human detection in static image is very important for real applications. Although different feature descriptors have been proposed for human detection, for HOG descriptor, how to select and com...
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Chapter and Conference Paper
Segment and Label Indoor Scene Based on RGB-D for the Visually Impaired
The growing study in RGB-D sensor and 3D point cloud have made new progress in obstacle avoidance for the visually impaired. However, it remains a challenging problem due to the difficulty in design a robust a...
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Chapter and Conference Paper
Efficient Multi-scale Plane Extraction Based RGBD Video Segmentation
To improve the robustness and efficiency of RGBD video segmentation, we propose a novel video segmentation method combining multi-scale plane extraction and hierarchical graph-based video segmentation. Firstly...
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Chapter and Conference Paper
Multiple Visual Fields Cascaded Convolutional Neural Network for Breast Cancer Detection
This paper proposes a novel multiple visual fields cascaded convolutional neural network MVF-CasCNN to detect breast cancer metastases in the gigapixel whole slide image WSI. Here visual field is the total area o...
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Chapter and Conference Paper
A Pointer-Generator Based Abstractive Summarization Model with Knowledge Distillation
The use of large-scale pre-trained models for text summarization has attracted increasing attention in the computer science community. However, pre-training models with millions of parameters and long training...