Abstract: A system for capturing sound comprising a plurality of discrete microphones (112, 14, 116, 118) and a processing system (408). The plurality of discrete microphones are arranged in a circular array. The processing system (408) arranged to perform a first signal processing algorithm on sound originating from one or more of a first set of directions relative to the array to isolate a first sound source. The processing system (408) is further arranged to perform a second signal processing algorithm on sound originating from one or more of a second set of directions relative to the array to isolate a second sound source therein. A method for receiving sound at a plurality of discrete microphones (112, 114, 116, 118) arranged in a circular array is also described.

Abstract: A system for capturing sound comprising a plurality of discrete microphones (112, 14, 116, 118) and a processing system (408). The plurality of discrete microphones are arranged in a circular array. The processing system (408) arranged to perform a first signal processing algorithm on sound originating from one or more of a first set of directions relative to the array to isolate a first sound source. The processing system (408) is further arranged to perform a second signal processing algorithm on sound originating from one or more of a second set of directions relative to the array to isolate a second sound source therein. A method for receiving sound at a plurality of discrete microphones (112, 114, 116, 118) arranged in a circular array is also described.

Abstract: A system for detecting, classifying and tracking unmanned aerial vehicles (UAVs) comprising: at least one microphone array arranged to provide audio data; at least one camera arranged to provide video data; and at least one processor arranged to generate a spatial detection probability map comprising a set of spatial cells. The processor assigns a probability score to each cell as a function of: an audio analysis score generated by comparing audio data to a library of audio signatures; an audio intensity score generated by evaluating a power of at least a portion of a spectrum of the audio data; and a video analysis score generated by using an image processing algorithm to analyse the video data. The system is arranged to indicate that a UAV has been detected in one or more spatial cells if the associated probability score exceeds a predetermined detection threshold.

Abstract: A system for detecting, classifying and tracking unmanned aerial vehicles (UAVs) comprising: at least one microphone array arranged to provide audio data; at least one camera arranged to provide video data; and at least one processor arranged to generate a spatial detection probability map comprising a set of spatial cells. The processor assigns a probability score to each cell as a function of: an audio analysis score generated by comparing audio data to a library of audio signatures; an audio intensity score generated by evaluating a power of at least a portion of a spectrum of the audio data; and a video analysis score generated by using an image processing algorithm to analyse the video data. The system is arranged to indicate that a UAV has been detected in one or more spatial cells if the associated probability score exceeds a predetermined detection threshold.

Abstract: Method and system for digitally directive focusing and steering of sampled sound within a target area for producing a selective audio output accompanying video. In a preferred embodiment, the method and system is characterized by receiving position and focus data from one or more cameras shooting an event, and use this input data for generating relevant sound output together with the picture.