Feb 7, 2020 · We propose an abnormal trajectory detection method - called TADSS - to find the hidden abnormal trajectory by using a comprehensive measurement.
Feb 18, 2020 · In this paper, we propose a method, sparse-subgraph-based abnormal trajectory detection using multiple information sources (i.e., TADSS). TADSS ...
Abnormal Trajectory Detection Based on a Sparse Subgraph. Zhao, Xujun; ;; Rao, Yuanqi; ;; Cai, Jianghui; ;; Ma, Wenqiang. Abstract. Publication: IEEE Access.
Last, we propose a sparse subgraph method to detect abnormal trajectory, where a novel weight coefficient concept is used to distinguish sparse subgraph.
The grid-based abnormality-detection method quantifies trajectories into a finite number of cells, converts each trajectory into a series of grid codes, and ...
Missing: Subgraph. | Show results with:Subgraph.
Jan 11, 2013 · Abnormal behavior detection has been one of the most important research branches in intelligent video content analysis.
Abnormal-trajectory detection can be used to detect fraudulent behavior of taxi drivers transporting passengers. Aiming at the problem that existing methods ...
Missing: Sparse Subgraph.
The trajectory outlier detection algorithm, proposed in this paper, can be used to detect trajectory outliers by comparing the structure between each ...
Aug 9, 2024 · This study proposes an anomalous sub-trajectory detection method (GCSL-ASD) based on graph contrastive self-supervised learning, which ...
Jan 30, 2013 · Abstract. We propose to detect abnormal events via a sparse reconstruction over the normal bases. Given a collection of normal training ...