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A method that optimizes visual odometry, especially using visual odometry in the scene with absence of features is proposed in this paper. First, in order to estimate the pose of camera when the effect of using feature-based method is not good enough, direct method is implemented as the solution. Second, comparing with traditional visual odometry method, this method takes the environment restriction...
This paper reports a large-scale study that aims to understand how mobile application (app) vulnerabilities are associated with software libraries. We analyze both free and paid apps. Studying paid apps was quite meaningful because it helped us understand how differences in app development/maintenance affect the vulnerabilities associated with libraries. We analyzed 30k free and paid apps collected...
With the vast resource and techniques increasingly available to attackers, application layer DDoS (App-DDoS) attacks have become a serious threat to webserver. In order to deal with this kind of complex and varied attacks, a novel approach based on time series prediction model is proposed, which includes the following work: Firstly, App-DDoS attacks are divided into flooding attacks and asymmetric...
Human action recognition in video sequences is an important research topic in computer vision, and motion history image (MHI) is widely taken for recognition due to its simplicity. However, it may be not robust to describe an action by only a single MHI. Therefore, an action recognition scheme by using multiple key MHIs (MKMHIs) is proposed. Firstly, an adaptive method for key MHIs selection is proposed...
In this paper, we propose a shape-guided segmentation algorithm for fine-grained visual classification(FGVC). First, edge information is extracted from the query image and compared with each sample of training set, which can help us retrieve a subset of candidate proposals. These proposals are used to learn prior shape knowledge by separately estimating the foreground probabilities of corresponding...
Modern web users are exposed to a browser security threat called drive-by-download attacks that occur by simply visiting a malicious Uniform Resource Locator (URL) that embeds code to exploit web browser vulnerabilities. Many web users tend to click such URLs without considering the underlying threats. URL blacklists are an effective countermeasure to such browser-targeted attacks. URLs are frequently...
Sparse representation based classification (SRC) method has become a hot topic in recent years. To address the alignment problem, feature-based (such as SIFT) SRC method has been proposed. But it always works not ideally for the contiguously occluded face images. After analyzing, we point it to the issue of features' reliability for multi-task recognition. Through the theoretical analysis on the sparsity...
Streamline is an important way to visualize flow fields. In this paper, we propose a new streamline placement method. This method seeds streamlines at the centers of sub-fields that are enclosed by existing streamlines or field boundaries. When a streamline is seeded in a sub-field, the sub-field is generally partitioned into one or more small ones. We then continue the placement in the new sub-fields...
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