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In order to remove the problem of the shadow of moving vehicles in video surveillance, this paper presents an algorithm based on projection features of the connected regions to eliminate the dynamic shadow. Firstly, the Frame Difference method is applied to image blocks to extract the background. Then, the moving vehicles are detected as the foreground in the current frame by background subtraction...
Most of the existing techniques for palmprint recognition are based on metrics that evaluate the distance between a pair of features. These metrics are typically based on static functions. In this paper we propose a new technique for palmprint recognition based on a dynamical system approach, focusing on preliminary experimental results. The essential idea is that the procedure iteratively eliminates...
Video summary technology has become a hotspot of current researches. The application of sports video summary can quickly fetch important information in sports video that help sports enthusiasts and sports senior analysis the video. The present study takes tennis video as the research object. Firstly, determine the number of key frames based on statistical rules, and then extract key frames from different...
For traditional data mining tasks, algorithms are commonly selected by manual effort. However, it is a challenge for any practitioner to select the most appropriate algorithm from hundreds of candidates. To address this issue, we have proposed a novel model for supporting automatic selection on data mining algorithms. The model incorporates the extracted characteristics of data sets and the dynamically...
In security surveillance video (SSV), foreign object occlusion is increasingly common. Automatic detection of suspicious occlusion has become important. In this paper, a banner occlusion detection approach is proposed. The proposed approach first detects the banner in the image using both color feature and shape feature. More specifically, the proposed approach exploits the HSV color space to extract...
In this paper, a realtime pseudo-structure extraction algorithm for 3D indoor point cloud data (PCD) is proposed. This algorithm is called Convex Cut (CC) because of its two main steps: cutting the PCD with arbitrary planes, and extracting convex parts. CC can be used as a preprocessing module for other existing algorithms to extract static parts in dynamic environments or to represent a principal...
Through real time crawling network topology structure of Tibetan web, analyzing the topology structure, first of all do the community division to find the nodes with the weak ties features by network topology structure and the theory of the community division. At the beginning of the immune, the nodes with weak ties are immune first, then the maximum degree of acquaintance immunization strategy were...
With the rapid development of Internet and Web 2.0, online social networks, such as Facebook, Twitter, LinkedIn, have become valuable sources for public opinion mining and sentiment analysis. Millions of users are sharing their views and discussing current issues through social media every day. Microblog, as a convenient and easily access platform, also attracts more and more people to express their...
The problems of moving object detecting and tracking on UAV (Unmanned Aerial Vehicle) platforms in surveillance operations are addressed, and a robust tracking method for reliably detecting and tracking of foreground moving objects in a dynamically changing environment is proposed. Firstly, using the modified robust local feature detector SURF (Speeded Up Robust Features) which is linear ordering...
We introducted some basic structures and functions of Kinect briefly, analyzed depth images by aquiring camera body movement of the Kinect body feeling device. Further, we aquired 20 group node data by combinning with the SDK, so we proposed algorithm of gesture recognition by extracting feature vector in this paper. Representation method of action has been proposed based on the human body structure...
This paper presents a fast image stitching method based on the Shape-Preserving Half-Projective warps. The method includes three principal steps: Firstly, the feature points are extracted and matched using the SIFT algorithm; Secondly, image registration is completed by estimating the converting relationship between images with the RANSAC and the Shape-Preserving Half-Projective Warps. Finally, seamless...
This paper presents a hierarchical feature extraction technique for non-stationary time-series data that is considered to be a slow-time scale mixture of time-series segments which are quasi-stationary at a faster time-scale. The problem is to model an unknown number of unique stationary segments at the low level while capturing their switching characteristics at a higher level. Symbolic Dynamic Filtering...
Complex social networks are often arranged in communities of agents playing similar roles in the network, and detecting these communities can bring insights into the behaviour of such systems. Among many existing methods, a model of communication dynamics that involves exchange and agreement on shared words -- the Naming Game -- has been applied for community detection based on local interactions...
Aimed at solving the problem that traditional clustering methods are vulnerable to the sparsity feature of the high dimensional data, a spectral clustering algorithm is proposed based on K-SVD dictionary learning. The algorithm firstly learns a dictionary by K-SVD and obtains sparse representation coefficients of all data samples in the dictionary by l1 sparse optimization. Then the similarity matrix...
Detection of a moving object in a non-stationary scene is a very critical and challenging step for visual surveillance applications. Background subtraction (BS) is a widely used algorithm for moving object detection in the presence of static cameras. Its performance purely depends on the choice of features used for background modeling. The traditional BS assumes that the background is static or near-static...
Video segmentation can distinguish the video content preliminarily. It gets ready for the following Analysis scene and object recognition. The accurate video segmentation would do the direct impact on successor task. When the video segmentation algorithm is accurate, the video in painting effect based on motion mask is well. Therefore, more and more people pay close attention to the improvement about...
Heavy loads increase the risk of musculoskeletal injury for foot soldiers and first responders. Continuous monitoring of load carriage in the field has proven difficult. We propose an algorithm for estimating load from a single body-worn accelerometer. The algorithm utilizes three different methods for characterizing torso movement dynamics, and maps the extracted dynamics features to load estimates...
Clustering large collections of binary programs is a challenging task due to two factors. First of all, a way to determine if two samples are similar or not is required. Secondly, pair wise comparison is impractical on collections comprising millions of items. This paper will mainly focus on the second factor and will propose a clustering algorithm based on the properties of Min Hash functions. The...
Biometric systems either use physiological or behavioural characteristics to identify an individual. However, if a biometric is compromised it could be difficult or impossible to change it. This paper proposes a biometric authentication system based on gesture recognition, where gestures can be easily changed by the user. The system uses a Kinect™ device to capture and extract features, as it provides...
Different methods employed for object detection are widely exploited covering application areas such as traffic monitoring, video surveillance and capturing various human activities and motion. The traditional methods that have earlier been proposed for detection are found to be beneficial if the detected object is properly identified. Moreover, minimizing the effect of dynamic changes as well as...
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