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Article
Black-box attacks on face recognition via affine-invariant training
Deep neural network (DNN)-based face recognition has shown impressive performance in verification; however, recent studies reveal a vulnerability in deep face recognition algorithms, making them susceptible to...
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Chapter and Conference Paper
Large-Scale Video-Based Person Re-identification via Non-local Attention and Feature Erasing
Encoding the video tracks of person to an aggregative representation is the key for video-based person re-identification (re-ID), where average pooling or RNN methods are typically used to aggregating frame-le...
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Chapter and Conference Paper
Exudate Detection in Fundus Images via Convolutional Neural Network
Exudate detection in fundus images is an important task for the screening of people with diabetic retinopathy. In this paper, Convolutional Neural Network (CNN) is used to detect the exudates in fundus images....
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Article
Motion sketch based crowd video retrieval
Crowd video retrieval with desired motion flow segmentation is an important problem in surveillance video management, e.g., video indexing and browsing, especially in the age of big data. In this paper, we add...
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Article
Crowd Behavior Analysis via Curl and Divergence of Motion Trajectories
In the field of crowd behavior analysis, existing methods mainly focus on using local representations inspired by models found in other disciplines (e.g., fluid dynamics and social dynamics) to describe motion...
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Chapter and Conference Paper
Automatic Exudate Detection in Color Fundus Images
Diabetic retinopathy is a major cause of blindness in working age population and exudates are considered the most significant characteristics of diabetic retinopathy. Therefore, automatic exudate detection is ...
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Article
The large-scale crowd analysis based on sparse spatial-temporal local binary pattern
As a particular class of public security issues, the large-scale crowd analysis plays a very important role in video surveillance application. This paper proposes a sparse spatial-temporal local binary pattern...
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Chapter and Conference Paper
Real-Time Human Intrusion Detection Using Audio-Visual Fusion
Human intrusion detection is widely used in intelligent video surveillance systems. It requires not only high accuracy but also real-time performance. In this paper, a real-time human intrusion detection algor...
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Chapter and Conference Paper
Multimedia Telemedicine Environment: A System Design of Integrate Portable and Wearable Devices
This paper proposes a remote multimedia telemedicine system that is focusing on the integration of different kinds of devices. Based on the portable and wearable devices as the center, the proposed system coul...
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Chapter and Conference Paper
A Bayesian Online Object Tracking Method Using Affine War** and Random KD-Tree Forest
A Bayesian online object tracking method is proposed in this paper. Within the inference framework, estimation of the dynamical transition model and observation model is computed sequentially based on object a...
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Chapter and Conference Paper
Reduced Reference Image Quality Assessment Based on Image Statistics in Pixel Domain
In this paper, we propose a new reduced reference image quality assessment (RR IQA) algorithm based on the image statistics. The image statistics is modeled in pixel domain, which is based on the gradient dist...
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Chapter and Conference Paper
The Large-Scale Crowd Density Estimation Based on Effective Region Feature Extraction Method
This paper proposes an intelligent video surveillance system to estimate the crowd density by effective region feature extracting (ERFE) and learning. Firstly, motion detection method is utilized to segment th...
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Article
A Frame-Activity-Based Dynamic Frame-Skip** Transcoder
Nowadays band-limited terminals are very popular in wireless networking environments, with the result that frame-skip** technology is applied to reduce frame rate for video transmission. In this paper, we pr...
