Axis Patente

The present application relates to detecting if video images captured by a camera (100) are depicting a live scene (102) or a recorded video played on a monitor, display or computer screen (106), which is setup to hide the scene from the camera. Metadata regarding the mapping operation used to transform image data between different intensity ranges, or bit depths, is included with the video and evaluated in order to determine if a video replay attack has taken place.

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A solid-state relay (100), which includes a semiconductor switch (106) and a voltage boost block. The semiconductor switch (106) has a control input (124), which causes the semiconductor switch (106) to shift from an open, non-conducting position to a closed, conducting position when a voltage is applied to the control input (124), wherein the closed position is associated with a parasitic resistance of the semiconductor switch (106). The voltage boost block includes a boost converter (104) and a ground connector (114). A voltage output of the semiconductor switch (122) is electrically connected to a voltage input (108) of the boost converter (104). A voltage output (110) of the boost converter (104) is electrically connected to the control input (124). The ground connector (114) of the boost converter (104) is electrically connected to a voltage input of the semiconductor switch (106). The parameters of the semiconductor switch (106) and the boost converter (104), including the parasitic resistance and a voltage step-up ratio of the boost converter (104), are selected such that when the semiconductor switch (106) is in the closed position, a voltage at the voltage output (122) of the semiconductor switch (106) results in a voltage at the voltage output (110) of the boost converter (104) sufficient for application to the control input (124) at the semiconductor switch (106), to cause the semiconductor switch (106) to be maintained in a closed position in the absence of another control signal.

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A method (200) for tracking an object in a scene is provided, including receiving a first image frame (240a) of a first image stream (240) capturing a scene, detecting or tracking a first object in the first image frame, and determining that the first object is in a first part of the first image frame, determining, based on a at least one set (250a) of multiple values of a tracking parameter each specific for different parts of the first image frame, a first value of the tracking parameter for the first part of the first image, and tracking the first object in a second image frame of the first image stream subsequent to the first image frame, based on the first value of the tracking parameter. A corresponding device, camera monitoring system, computer program and computer program product are also provided.

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Methods and apparatus, including computer program products, for controlling a speaker (118), which is electrically powered with a low-power source (104) and connected to a short-term energy storage (112). Audio is received for playback on the speaker (118). A time-resolved power analysis of the audio is acquired and a time-resolved speaker power requirement required by a speaker playing back the audio is calculated. The time-resolved speaker power requirement is compared with a combined capacity of the low-power source (104) and the short-term energy storage (112). One or more of: a dynamic range, a frequency range, and an output gain of a digital signal processor (110) are adjusted such that the speaker power requirement meets the combined capacity of the low-power source (104) and the short-term energy storage (112) for the duration of a playback of the received audio on the speaker (118).

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Methods, systems and computer program products, for training a multitask neural network. First and second datasets are provided, containing samples for a first task and a second task, respectively. First and second batch miners are provided for mining samples from the first and second datasets. First and second costs for completing the first and second tasks, respectively, are assessed using a first sample mined by the first batch miner from the first dataset and a second sample mined by the second batch miner from the second dataset. When the first or second cost, respectively, falls within a range delimited by lower and upper thresholds, the is added to a first or second batch, respectively. When a termination condition is reached for either the first or second batch, the first or the second batch is used to update the neural network.

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An assembly comprising a first component (3), a second component (4), a hollow holding member (5) and a threaded fastener (6). The first component (3) having a first socket (8) with a first socket opening (9) and a threaded bore (10) extending from a bottom surface of the first socket (8), and the second component (4) having a second socket (11) with a second socket opening (12). One of the first socket (8) and the second socket (11) is provided with an inlet restriction (14), wherein the hollow holding member (5) comprises a first portion (15) arranged in the other one of the first socket (8 ) and the second socket (11) and connected to the associated first or second component (3, 4), wherein the hollow holding member (5) comprises a second portion (16) protruding from one of the first and second socket opening (9, 10) and configured to be inserted into the second or first socket (11, 8), respectively, via the other one of the first and second socket opening (9, 12) by relative movement of the first component (3) towards the second component (4) such that a top section (17) of the second portion (16) of the hollow holding member (5) is passed by the inlet restriction (14) under resilient deformation of the top section (17) and/or the inlet restriction (14) thereby achieving a connection between the first and second component (3, 4), and wherein the threaded fastener (6) is configured to extend through the hollow holding member (5) from the second component (4) to the threaded bore (10) of the first socket (8) of the first component (12) for engagement with the threaded bore (10) such that the connection between the first and second components (3 ,4) is secured.

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A method and a device for setting a value of an object property in a sequence of metadata frames corresponding to a sequence of video frames is provided. An object is detected (S02) in a plurality of video frames. For a temporally first video frame a first value of an object property is determined (S04) and the object property is set (S06) to have the first value in a metadata frame corresponding to the first video frame. For each subsequent video frame, a subsequent value of the object property is determined (S08) and a deviation is calculated (S12) with respect to a value of the object property that was last set in a metadata frame. If the deviation exceeds a non-zero threshold, the object property is set (S14) to have the subsequent value in a metadata frame corresponding to the subsequent video frame. Otherwise no value of the object property is set (S16) in that metadata frame.

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There are provided encoding and decoding methods, and corresponding systems which are beneficial in connection to performing a search among regions of interest, ROIs, in encoded video data. In the encoded video data, there are independently decodable ROIs. These ROIs and the encoded video frames in which they are present are identified in metadata which is searched responsive to a search query. The encoded video data further embeds information which associates the ROIs with sets of coding units, CUs, that spatially overlap with the ROIs. In connection to independently decoding the ROIs found in the search, the embedded information is used to identify the sets of CUs to decode.

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A controller and method therein for controlling encoding of a set of images to enable blending of an overlapping area, where a first image and a second image overlap each other are disclosed. The controller encodes macroblocks of the non-overlapping area in the first image using a set of base quantization parameter values, QP-values, and adds the same set of base QP-values to a header of each macroblock. The controller encodes macroblocks of the overlapping area in the first image using a set of first QP values, and adds a modified set of the first QP-values to a header of each macroblock. The controller encodes macroblocks of the overlapping area in the second image using a set of second QP values, and adds a modified set of the second QP-values to a header of each macroblock.

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