... detection in surveillance videos. In: CVPR 27. Baum LE, Petrie T (1966) ... Gaussian process regression-based video anomaly detection and localization ... model for traffic pattern analysis and anomaly detection. Mach Vis Appl 25(6):1501 ...
... detection in traffic scenes via spatial-aware motion reconstruction. IEEE Trans. Intell. Transp. Syst. 18(5), 1198–1209 (2017) Wang, X., Ji, Q.: Hierarchical context modeling for video event recognition. IEEE Trans. Pattern Anal. Mach ...
... detection with Gaussian Mixture Models and employs Kalman filters with conflict resolving extensions for the object tracking. In order to allow an effective event ... Model, Kalman filters, optical flow. 1 Introduction Increasing number of ...
... detected compared to other types of traffic incidents. Yun et al. [161] propose a novel method by modeling the shape of the water surface in a field form, which is called Motion Interaction Field (MIF), using Gaussian kernels. Traffic ...
... traffic normalcy model based on historical ship trajectories . Ristic et al ... Gaussian Process models and applied the prediction model for real - time ship abnormal behaviour detection ... events or situations can be detected . Pristrom et al ...
... Detection According to the US National Transportation Safety Board [61] ... event is an anomalous event and, consequently, detectable by a system that ... model is constructed, optical flow is computed from frames in the incoming video ...
... Gaussian function, as in Eq. (3), and Γ = (γ1 ,...,γ K) = [(p1 ,μ1 ,σ 1 ) ... automatic controller box. Fig. 3 shows a description of the normal activity space for ... Model to Detect Unusual Events 413 Tracking and Classification of Activity.
... detection on railways, but the idea of detecting an anomalous event, in this ... automatic and real time method for obstacles detection on railways. The key ... Gaussian Mixture Model to find the rails correctly in these critical areas ...
... events, such as passing and lane changing, cannot rely only on car ... model for the vehicle's velocity, and an intelli- gent driver model was used ... Gaussian HMM was designed to infer the short-term driving behavior based on ...