Examples of the disclosure relate to an apparatus comprising means for: using a radiofrequency beam having a wavelength below approximately 10mm to interrogate one or more acoustic reporters in an audio environment; analysing one or more sound signals reported by the one or more acoustic reporters to determine positions of one or more sound sources providing the one or more sound signals; and using the positions of the one or more sound sources to determine one or more sound propagation paths within the audio environment.

Real-time gunshot detection and reporting. A computing device detects, in an audio signal received by an audio receiver that includes a plurality of audio receiving elements, at least one gunshot. The computing device determines, based on the plurality of audio receiving elements, an audio location of the at least one gunshot. The computing device sends control signals to at least two cameras to cause the at least two cameras to capture at least two corresponding images of the audio location. The computing device, based on the at least two corresponding images, identifies a gunshot location and transmits a gunshot location identifier that identifies the gunshot location to a destination.

A technique for detecting the occurrence of an event, and for estimating other event-related information, by analyzing the barometric pressure in the vicinity of one or more wireless terminals. The disclosed detection technique is based on the recognition that the barometric sensor on various wireless terminals, such as smartphones, is capable of measuring very subtle changes in the atmospheric pressure. The disclosed detection technique is also based on the additional recognition of how some of the changes in the atmospheric pressure, as measured by a wireless terminal, correlate to various events that occur within a building or other defined area. For example, the disclosed technique can detect an entry door opening or closing by analyzing a resultant pressure wave having a particular transient that is perceptible by one or more wireless terminals in the area and analyzed by a detection engine.

In a pilotless flying object detection system, a masking area setter sets a masking area to be excluded from detection of a pilotless flying object which appears in a captured image of a monitoring area, based on audio collected by a microphone array. An object detector detects the pilotless flying object based on the audio collected by the microphone array and the masking area set by the masking area setter. An output controller superimpose sound source visual information, which indicates the volume of a sound at a sound source position, at the sound source position of the pilotless flying object in the captured image and displays the result on a first monitor in a case where the pilotless flying object is detected in an area other than the masking area.

A system may utilize sound localization techniques, such as time-difference-of-arrival techniques, to estimate an audio-based sound source position from which a sound originates. An optical image or depth map of an area containing the sound source location may then captured and analyzed to detect an object that is known or expected to have produced the sound. The position of the object may also be determined based on the analysis of the optical image or depth map. The position of the sound source may then be determined based at least in part on the position of the detected object or on a combination of the audio-based sound source position and the determined position of the object.

A system may utilize sound localization techniques, such as time-difference-of-arrival techniques, to estimate an audio-based sound source position from which a sound originates. An optical image or depth map of an area containing the sound source location may then captured and analyzed to detect an object that is known or expected to have produced the sound. The position of the object may also be determined based on the analysis of the optical image or depth map. The position of the sound source may then be determined based at least in part on the position of the detected object or on a combination of the audio-based sound source position and the determined position of the object.

It is provided a system for localizing a sound source and a method therefor. The system includes a movable unit, being adapted for free movement and being integrated with a microphone; a motion tracking unit; and a processing unit, being adapted for receiving microphone signal and motion tracking unit signal and obtaining information on a direction from which sound from the sound source arrives using the microphone signal and motion tracking unit signal obtained during movement of the movable unit. By having the system and the method therefor, it is helpful for solving at least one of the technical problems: the complexity and a large volume of an acoustic camera for localization of a sound source; the restriction of the movement of the microphone in a sound source localization system.

It is provided a system for localizing a sound source and a method therefor. The system includes a movable unit, being adapted for free movement and being integrated with a microphone; a motion tracking unit; and a processing unit, being adapted for receiving microphone signal and motion tracking unit signal and obtaining information on a direction from which sound from the sound source arrives using the microphone signal and motion tracking unit signal obtained during movement of the movable unit. By having the system and the method therefor, it is helpful for solving at least one of the technical problems: the complexity and a large volume of an acoustic camera for localization of a sound source; the restriction of the movement of the microphone in a sound source localization system.

An image processing apparatus includes a first reception section, a second reception section, an association processing section, an object detection section, and a process execution section. The first reception section receives image information acquired by an image sensor. The second reception section receives sound information that is acquired by one or plural directional microphones and that is generated for at least a partial region in a field of the image sensor. The association processing section associates the sound information with a pixel address of the image information indicating a position in the field. The object detection section detects, from the image information, at least a part of an object that is present in the field. The process execution section executes a predetermined process on the object on the basis of a result of the association performed by the association processing section.

An image processing apparatus includes a first reception section, a second reception section, an association processing section, an object detection section, and a process execution section. The first reception section receives image information acquired by an image sensor. The second reception section receives sound information that is acquired by one or plural directional microphones and that is generated for at least a partial region in a field of the image sensor. The association processing section associates the sound information with a pixel address of the image information indicating a position in the field. The object detection section detects, from the image information, at least a part of an object that is present in the field. The process execution section executes a predetermined process on the object on the basis of a result of the association performed by the association processing section.