Invention Grant
- Patent Title: Trajectory cluster model for learning trajectory patterns in video data
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Application No.: US15090862Application Date: 2016-04-05
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Publication No.: US10423892B2Publication Date: 2019-09-24
- Inventor: Gang Xu , Ming-Jung Seow , Tao Yang , Wesley Kenneth Cobb
- Applicant: Omni AI, Inc.
- Applicant Address: US TX Houston
- Assignee: Omni AI, Inc.
- Current Assignee: Omni AI, Inc.
- Current Assignee Address: US TX Houston
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06N20/00 ; G06K9/62 ; G08B13/196 ; G06K9/32

Abstract:
Techniques are disclosed for analyzing and learning behavior in an acquired stream of video frames. In one embodiment, a trajectory analyzer clusters trajectories of objects depicted in video frames and builds a trajectory model including the trajectory clusters, a prior probability of assigning a trajectory to each cluster, and an intra-cluster probability distribution indicating the probability that a trajectory mapping to each cluster is least various distances away from the cluster. Given a new trajectory, a score indicating how unusual the trajectory is may be computed based on the product of the probability of the trajectory mapping to a particular cluster and the intra-cluster probability of the trajectory being a computed distance from the cluster. The distance used to match the trajectory to the cluster and determine intra-cluster probability is computed using a parallel Needleman-Wunsch algorithm, with cells in antidiagonals of a matrix and connected sub-matrices being computed in parallel.
Public/Granted literature
- US20170286781A1 TRAJECTORY CLUSTER MODEL FOR LEARNING TRAJECTORY PATTERNS IN VIDEOS DATA Public/Granted day:2017-10-05
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