Video Anomaly Detection Based on Mixed Statistic Feature
نویسندگان
چکیده
In this paper, a new efficient method based on mixed statistic feature is proposed for video anomaly detection in densely crowded scenes. The proposed mixed statistic feature is a hand-designed feature considering both magnitude and phase information of the optical flow block after the preprocessing step which based on the latent consistency information of moving objects in the block. Gaussian Mixture Model (GMM) is employed in our method to establish the appropriate probability model for our block-based feature. Experimental results on the challenging UCSD datasets (Ped1 and Ped2) have shown that our method outperformed four state-of-the-art approaches both in accuracy and efficiency (less than 1s per frame in Matlab environment).
منابع مشابه
Dynamic anomaly detection by using incremental approximate PCA in AODV-based MANETs
Mobile Ad-hoc Networks (MANETs) by contrast of other networks have more vulnerability because of having nature properties such as dynamic topology and no infrastructure. Therefore, a considerable challenge for these networks, is a method expansion that to be able to specify anomalies with high accuracy at network dynamic topology alternation. In this paper, two methods proposed for dynamic anom...
متن کاملApplication of Combined Local Object Based Features and Cluster Fusion for the Behaviors Recognition and Detection of Abnormal Behaviors
In this paper, we propose a novel framework for behaviors recognition and detection of certain types of abnormal behaviors, capable of achieving high detection rates on a variety of real-life scenes. The new proposed approach here is a combination of the location based methods and the object based ones. First, a novel approach is formulated to use optical flow and binary motion video as the loc...
متن کاملAnomaly Detection and Localisation using Mixed Graphical Models
We propose a method that performs anomaly detection and localisation within heterogeneous data using a pairwise undirected mixed graphical model. The data are a mixture of categorical and quantitative variables, and the model is learned over a dataset that is supposed not to contain any anomaly. We then use the model over temporal data, potentially a data stream, using a version of the two-side...
متن کامل3D Gabor Based Hyperspectral Anomaly Detection
Hyperspectral anomaly detection is one of the main challenging topics in both military and civilian fields. The spectral information contained in a hyperspectral cube provides a high ability for anomaly detection. In addition, the costly spatial information of adjacent pixels such as texture can also improve the discrimination between anomalous targets and background. Most studies miss the wort...
متن کاملAnomaly Detection Using SVM as Classifier and Decision Tree for Optimizing Feature Vectors
Abstract- With the advancement and development of computer network technologies, the way for intruders has become smoother; therefore, to detect threats and attacks, the importance of intrusion detection systems (IDS) as one of the key elements of security is increasing. One of the challenges of intrusion detection systems is managing of the large amount of network traffic features. Removing un...
متن کامل