Gunshot detection within an indoor environment with video analytics
Gunshot detection within an indoor environment is performed with video analytics. One or more position-independent gunshot sensors are deployed. Infrared and acoustic information is collected within an indoor environment for indoor gunshot detection with video analytics. The infrared information and the acoustic information are analyzed to determine a gunshot occurrence. Video analytics for tracking a suspected shooter of the gunshot is performed, based on the gunshot occurrence, using video that is collected. A person of interest is tagged, as a portion of the video analytics, for the purpose of tracking the person of interest. Video collection from one or more video streams is engaged, based on the detection of the gunshot. The video analytics uses image classifiers. The image classifiers are used to identify a gun type. The suspected shooter is identified based on the video analytics. An audio microphone is activated based on the detecting of the gunshot.
1. A processor-implemented method for gunshot analysis comprising:
collecting infrared information within an indoor environment using a gunshot sensor;
collecting acoustic information within the indoor environment using the gunshot sensor;
analyzing the infrared information and the acoustic information to determine a gunshot occurrence;
performing, based on the gunshot occurrence, video analytics for tracking a suspected shooter of the gunshot using video that is collected, wherein the performing video analytics uses a plurality of video cameras; and
tagging a person of interest, as a portion of the video analytics, for tracking of the person of interest.
2. The method of claim 1 wherein the video analytics are performed on video streams from a subset of the plurality of video cameras.
3. The method of claim 2 wherein the subset is selected based on a location of the person of interest within the indoor environment.
4. The method of claim 3 further comprising a second subset of the plurality of video cameras based on the location of the person of interest and motion of the person of interest.
5. The method of claim 1 further comprising activating one or more video cameras based on the gunshot occurrence to collect one or more videos streams.
6. The method of claim 5 further comprising activating further video cameras based on location of the person of interest.
7. The method of claim 6 wherein the further video cameras are activated based on motion of the person of interest.
8. The method of claim 1 wherein the tagging comprises selecting the person of interest and identifying the person of interest as the suspected shooter.
9. The method of claim 8 wherein the tagging further comprises modifying a tag of the person of interest from being the suspected shooter to being a law enforcement officer.
10. The method of claim 1 wherein the tagging further comprises selecting the person of interest within a video stream.
11. The method of claim 1 further comprising engaging video collection from a video stream, based on the gunshot occurrence.
12. The method of claim 1 further comprising controlling the performing of the video analytics, based on the gunshot occurrence.
13. The method of claim 1 wherein the tagging is performed automatically by a gunshot detection system.
14. The method of claim 13 wherein the gunshot detection system accomplishes the collecting infrared information, the collecting acoustic information, and the analyzing.
15. The method of claim 1 wherein the gunshot occurrence is determined independently of location for the gunshot sensor.
16. The method of claim 1 further comprising activating an audio microphone based on determination of the gunshot occurrence.
17. The method of claim 16 wherein the tracking of the suspected shooter is further based on the audio microphone that was activated.
18. The method of claim 1 further comprising detecting an additional gunshot, in the indoor environment, based on the infrared information and the acoustic information.
19. The method of claim 18 wherein the additional gunshot is used to identify multiple shooters.
20. The method of claim 19 further comprising engaging additional video collection based on the multiple shooters which were identified.
21. The method of claim 20 wherein the additional video collection enables additional video analytics to be performed for tracking more than one suspected shooter.
22. The method of claim 1 further comprising engaging additional video collection on one or more additional video streams, wherein the additional video collection enables tracking the suspected shooter moving out of view of a video stream that was original.
23. A processor-implemented method for gunshot analysis comprising:
collecting infrared information within an indoor environment using a gunshot sensor;
collecting acoustic information within the indoor environment using the gunshot sensor;
analyzing the infrared information and the acoustic information to determine a gunshot occurrence;
engaging video collection, based on the gunshot occurrence; and
performing video analytics for tracking a suspected shooter for the gunshot occurrence based on the video collection, wherein the performing video analytics uses a plurality of video cameras.
24. The method of claim 23 wherein the gunshot occurrence is determined independently of location for the gunshot sensor.
25. A system for gunshot detection comprising:
a plurality of gunshot sensor units, within an indoor environment, wherein each of the plurality of gunshot sensor units comprises:
a faceplate having a central vertical axis and a contoured surface;
two infrared sensors disposed in the faceplate on opposite sides of the central vertical axis, wherein each infrared sensor is equally spaced from the central vertical axis;
two acoustic sensors disposed in the faceplate on opposite sides of the central vertical axis, wherein each acoustic sensor is equally spaced from the central vertical axis;
a microphone disposed in the faceplate along the central vertical axis and between the acoustic sensors; and
a processor;
a plurality of video cameras; and
an analyzer, coupled to the plurality of gunshot sensor units and the plurality of video cameras wherein the analyzer:
determines a gunshot occurrence, in the indoor environment, based on infrared information and acoustic information collected from the plurality of gunshot sensor units;
performs video analytics, based on video collected from the plurality of video cameras, wherein the video analytics tracks a suspected shooter of the gunshot using video that is collected; and
tags a person of interest, as a portion of the video analytics, for tracking of the person of interest.