Detecting anomalous events to trigger the uploading of video to a video storage server
First Claim
1. A computer-implemented method comprising:
- monitoring, by a computing device, video or image data captured by a plurality of cameras implemented within a vehicle;
monitoring, by the computing device, vehicle information associated with the vehicle, wherein the vehicle information includes sensor information reported by tire pressure sensors or impact sensors of the vehicle, or vehicle diagnostic information;
analyzing, by the computing device, the monitored video or image data for objects, patterns, or motions within respective fields of view of the plurality of cameras;
storing pixel-based classification rules in a memory of the computing device;
storing video uploading rules that identify a subset of the plurality of cameras for which video should be uploaded in the memory of the computing device;
detecting, by the computing device, satisfaction of video upload event criteria based on the analyzed monitored video or image data and the vehicle information, wherein the video upload event criteria identifies the subset of the plurality of cameras that captured video from a field of view facing an anomalous event defined by a particular set of objects, patterns, or motions, a rule to upload video from the subset of the plurality of cameras, and the stored pixel-based classification rules to identify the anomalous event from the video or image data;
determining, by the computing device, the subset of the plurality of cameras based on the detecting the satisfaction of the video upload event criteria; and
uploading, by the computing device, video captured by only the subset of the plurality of cameras to a video storage server.
2 Assignments
0 Petitions
Accused Products
Abstract
A computer-implemented method includes: monitoring, by a computing device, video or image data captured by a plurality of cameras implemented within a vehicle; monitoring, by the computing device, vehicle information associated with the vehicle, wherein the vehicle information includes sensor information reported by tire pressure sensors or impact sensors of the vehicle, or vehicle diagnostic information; detecting, by the computing device, satisfaction of particular video upload event criteria for which video should be uploaded for secure storage and future analysis, wherein the detecting the satisfaction of the video upload criteria is based on the monitoring the video or image data and the vehicle information; and uploading, by the computing device, video captured by a subset of the plurality of cameras to a video storage server, wherein the subset of the plurality of cameras include cameras capture the video or image data used to detect the satisfaction of the video upload event criteria or are associated with the vehicle information used to detect the satisfaction of the video upload event criteria.
9 Citations
20 Claims
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1. A computer-implemented method comprising:
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monitoring, by a computing device, video or image data captured by a plurality of cameras implemented within a vehicle; monitoring, by the computing device, vehicle information associated with the vehicle, wherein the vehicle information includes sensor information reported by tire pressure sensors or impact sensors of the vehicle, or vehicle diagnostic information; analyzing, by the computing device, the monitored video or image data for objects, patterns, or motions within respective fields of view of the plurality of cameras; storing pixel-based classification rules in a memory of the computing device; storing video uploading rules that identify a subset of the plurality of cameras for which video should be uploaded in the memory of the computing device; detecting, by the computing device, satisfaction of video upload event criteria based on the analyzed monitored video or image data and the vehicle information, wherein the video upload event criteria identifies the subset of the plurality of cameras that captured video from a field of view facing an anomalous event defined by a particular set of objects, patterns, or motions, a rule to upload video from the subset of the plurality of cameras, and the stored pixel-based classification rules to identify the anomalous event from the video or image data; determining, by the computing device, the subset of the plurality of cameras based on the detecting the satisfaction of the video upload event criteria; and uploading, by the computing device, video captured by only the subset of the plurality of cameras to a video storage server. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A computer program product for triggering the uploading of video from a subset of cameras of a plurality of cameras implemented in a vehicle, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computing device to cause the computing device to:
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monitor video or image data captured by the plurality of cameras; analyze the monitored video or image data for objects, patterns, or motions within respective fields of view of the plurality of cameras; store pixel-based classification rules in the computer readable storage medium; store video uploading rules that identify a subset of the plurality of cameras for which video should be uploaded in the computer readable storage medium; detect an anomalous event using the analyzed monitored video or image data and the stored pixel-based classification rules to identify the anomalous event from the video or image data, wherein the anomalous event is defined by a particular set of objects, patterns, or motions and relates to a collision or a road hazard; determine the subset of cameras of the plurality of cameras that were used to detect the anomalous event and that captured the video or image data having objects, patterns, or motions consistent with the anomalous event and captured from a field of view facing and associated with the anomalous event; and upload video captured by only the subset of cameras of the plurality of cameras to a video storage server. - View Dependent Claims (15, 16, 17, 18)
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19. A system comprising:
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a CPU, a computer readable memory and a computer readable storage medium associated with a computing device; program instructions to monitor video or image data captured by a plurality of cameras implemented within a vehicle; program instructions to analyze the monitored video or image data for objects, patterns, or motions within respective fields of view of the plurality of cameras; program instructions to monitor vehicle information associated with the vehicle; program instructions to store pixel-based classification rules in the computer readable memory; program instructions to store video uploading rules that identify a subset of the plurality of cameras for which video should be uploaded in the computer readable memory; program instructions to detect an anomalous event using the analyzed monitored video or image data and the monitored vehicle information using the stored pixel-based classification rules to identify the anomalous event from the video or image data, wherein the detecting the anomalous event includes detecting a satisfaction of criteria defining the anomalous event, wherein the anomalous event is defined by a particular set of objects, patterns, or motions and relates to a collision or a road hazard; program instructions to determine the subset of the plurality of cameras of the plurality of cameras that were used to detect the anomalous event and that captured the video or image data having objects, patters, or motions consistent with the anomalous event and captured from a field of view facing and associated with the anomalous event; and program instructions to upload video captured by only the subset of cameras of the plurality of cameras within a particular time window to a video storage server, wherein the program instructions are stored on the computer readable storage medium for execution by the CPU via the computer readable memory. - View Dependent Claims (20)
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Specification