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Article
Target-aware pooling combining global contexts for aerial tracking
The UAVs captured targets are relatively small when compared with the ordinary surveillance cameras. Thus, a strong discriminative ability is required for aerial trackers to accurately locate small targets, es...
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Chapter and Conference Paper
EFPNet: Effective Fusion Pyramid Network for Tiny Person Detection in UAV Images
Unmanned Aerial Vehicles (UAVs) have found extensive applications in the field of rescue and navigation scenarios. The objects in UAV images are generally with small sizes, which rises a serious challenge of o...
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Article
Convex hull regression strategy for people detection on top-view fisheye images
Due to the severe distortion of the fisheye image, the rectangular bounding box contain a lot of invalid information. So the multi-point representation method are emerging. However, it will fail in some extrem...
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Chapter and Conference Paper
U-TEN: An Unsupervised Two-Branch Enhancement Network for Object Detection Under Complex-Light Condition
The goal of low-light enhancement is to improve the visual quality of dark regions in an image. However, the existing low-light enhancement methods always failed in nighttime traffic surveillance. The reason c...
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Chapter and Conference Paper
An Integrated Navigation Method for UAV Autonomous Landing Based on Inertial and Vision Sensors
In the process of autonomous landing of unmanned aerial vehicles (UAV), the vision sensor is restricted by the field of view and UAV maneuvering process, which may make the acquired relative position/attitude ...
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Article
HEU Emotion: a large-scale database for multimodal emotion recognition in the wild
The study of affective computing in the wild setting is underpinned by databases. Existing multimodal emotion databases in the real-world conditions are few and small, with a limited number of subjects and exp...
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Chapter and Conference Paper
Association of PvuII and XbaI Polymorphisms in Estrogen Receptor Alpha (ESR1) Gene with the Chronic Hepatitis B Virus Infection
This study aims to investigate the correlation of PvuII (rs2234693) and XbaI (rs9340799) polymorphisms in estrogen receptor alpha (ESR1) gene with Chronic Hepatitis B Virus Infection, and provide new insight a...
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Chapter and Conference Paper
Cross-Database Facial Expression Recognition with Domain Alignment and Compact Feature Learning
Expression recognition has achieved impressive success in recent years. Most methods are based on the assumption that the training and testing databases follow the same feature distribution. However, distribut...
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Chapter and Conference Paper
Nonstandard Periodic Gait Energy Image for Gait Recognition and Data Augmentation
The method for synthesizing Gait Energy Image (GEI) is to use the silhouettes overlay of a pedestrian gait cycle, whereas, it is difficult to obtain the silhouettes of a pedestrian gait cycle in practical appl...
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Chapter and Conference Paper
A Regression Approach for Robust Gait Periodicity Detection with Deep Convolutional Networks
This paper presents a regression approach to gait periodicity detection via fitting gait sequence to a sine function by deep convolutional neural networks. The key idea is to model the gait fluctuation as a si...
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Article
An adaptive neural networks formulation for the two-dimensional principal component analysis
This study, for the first time, developed an adaptive neural networks (NNs) formulation for the two-dimensional principal component analysis (2DPCA), whose space complexity is far lower than that of its stati...
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Chapter and Conference Paper
Design and Implementation of a Prototype System for Automatic Obstacle Avoidance Information Collection Vehicle
For acquiring information about an environment under which people cannot work, a prototype system of autonomous information collection is designed and implemented. The prototype system consists of a vehicle an...
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Chapter and Conference Paper
Preprocessing Algorithm Research of Touchless Fingerprint Feature Extraction and Matching
Touchless fingerprint recognition with high acceptance, high security, hygiene advantages, is currently a hot research field of biometrics, but because of the different image principle of the non-contact finge...
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Chapter and Conference Paper
A Finger Vein Image Quality Assessment Method Using Object and Human Visual System Index
A finger vein image quality assessment method which uses object and human visual system index is proposed. This is based on both the human visual characteristics and finger vein image characteristics captured ...
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Article
A hybrid intelligent optimization method for multiple metal grades optimization
One of the most important aspects of metal mine design is to determine the optimum cut-off grades and milling grades which relate to the economic efficiency of enterprises and the service life of mines. This p...
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Article
A hybrid MPSO-BP structure adaptive algorithm for RBFNs
This paper introduces a novel hybrid algorithm to determine the parameters of radial basis function neural networks (number of neurons, centers, width and weights) automatically. The hybrid algorithm combines ...
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Chapter and Conference Paper
A Genetic-Neural Method of Optimizing Cut-Off Grade and Grade of Crude Ore
Cut-off grade and grade of crude ore is crucial to the economic benefit of enterprise and sustainable utilization of resource in mining system. Generally, they are determined by experiment data or worker’s exp...