Abstract: A method for scenario triggering and interaction is disclosed. One or more camera devices (110) are used to monitor a target object (142) in a scene (140). A target object vector (143a) is generated from captured images of each camera device (110) to represent a line of sight from the camera device (110) to the target object (142). A target object position (129) in the scene (140) is then determined from an intersection of the target object vectors (143a). The target object position (129) is compared with a task triggering region (144) in the scene (140) to trigger a pre-determined task when the target object (142) is within or around the task triggering region (144). For example, the target object (142) may be a human user and augmented reality contents are presented to the human user when the human user is detected to be within or around the task triggering region (144).

Abstract: A method to stabilize image capture for a camera device (110). The method includes capturing, at an auxiliary frame rate and using an auxiliary imaging element (112) rigidly coupled with the camera device (110), auxiliary images of a light source (143) attached to an object (142), where the auxiliary frame rate exceeds a camera frame rate of the image capture (1211); detecting each of a plurality of locations of the light source (143) in a corresponding one of the auxiliary images (1212); analyzing the plurality of locations to generate a measure of uncontrolled movement (1213); and adjusting, based at least on the measure of uncontrolled movement, the camera device (110) during the image capture of the object by the camera device (110) at the camera frame rate (1214).

Abstract: A method for directional sound capture. The method includes capturing, using a camera device, a sequence of images of a scene comprising a light source attached to a sound source object, detecting, by a hardware processor based on a pattern of local light change across the sequence of images, the light source in the scene, determining a direction of the sound source object by at least determining a location of the light source in at least one image of the sequence of images, transmitting, to a direction control device coupled to a microphone, a control signal to direct a sensitivity direction of the microphone towards the sound source object, and capturing, using the microphone and in response to directing the sensitivity direction of the microphone towards the sound source object, the sound emitted from the sound source object.

Abstract: A method for analyzing an object. The method includes capturing, using a camera device, a sequence of images of a scene comprising a light source attached to a first element of a plurality of elements comprised in an object, detecting, by a hardware processor based on a pattern of local light change across the sequence of images, the light source in the scene, determining, by the hardware processor, a location of the light source in at least one image of the sequence of images, generating, by the hardware processor based on the location of the light source and a dynamic model of the object, a region-of-interest for analyzing the object, and generating an analysis result of the object based on the region-of-interest, wherein a pre-determined task is performed based on the analysis result.

Abstract: A method for object tracking. The method includes capturing, using an optical sensor having first and second sensing matrices, an image of a scene (211), analyzing a first pixel of the image to detect imbalanced pixel sensing values from the first and second sensing matrices (212), analyzing a second pixel of the image to detect balanced pixel sensing values from the first and second sensing matrices (213), comparing the imbalanced pixel sensing values and the balanced pixel sensing values to generate a result (214), and determining, based on the result, that a first portion of the scene associated with the first pixel corresponds to a background of the scene, and that a second portion of the scene associated with the second pixel corresponds to a pre-determined light source (215).

Abstract: A method for image capture. The method includes generating, by disposing a light sensing device (112) at one or more locations in a scene (140), a direction of a visible light source (118) from each of the one or more locations in the scene (140), generating, based at least on the direction of the visible light source (118) and a pre-determined image capture criterion, a physical configuration of the image capture, wherein the physical configuration comprises at least one selected from a group consisting of a target camera location (145b) and a target object location (144b) in the scene (140), and transmitting a command to a camera device (110) to capture an image of an object in the scene (140) based on the physical con-figuration of the image capture.

Abstract: A method to stabilize a camera device. The method includes receiving, from the camera device mounted in a camera device holder, sensor data representing at least one selected from a group consisting of orientation and movement of the camera device, generating, using a pre-determined algorithm, a control signal based on the sensor data, and adjusting, using the control signal, a geometrical behavior of the camera device holder, wherein the geometrical behavior corresponds to at least one selected from a group consisting of the orientation and the movement of the camera device holder.

Abstract: A method for object tracking. The method includes capturing, using a camera device, a sequence of images of a scene, detecting, based on a pattern of local light change across the sequence of images, a light source in the scene, comparing, in response to detecting the light source, a location of the light source in at least one image of the sequence of images and a current position of a transport robot to generate a result, and generating, based on the result, a control signal for moving the transport robot toward the light source such that the light source aligns with a target position within the field-of-view.

Abstract: A method for directional sound capture. The method includes capturing, using a camera device, a sequence of images of a scene comprising a light source attached to a sound source object, detecting, by a hardware processor based on a pattern of local light change across the sequence of images, the light source in the scene, determining a direction of the sound source object by at least determining a location of the light source in at least one image of the sequence of images, transmitting, to a direction control device coupled to a microphone, a control signal to direct a sensitivity direction of the microphone towards the sound source object, and capturing, using the microphone and in response to directing the sensitivity direction of the microphone towards the sound source object, the sound emitted from the sound source object.

Abstract: A method for image capture. The method includes generating, by disposing a light sensing device (112) at one or more locations in a scene (140), a direction of a visible light source (118) from each of the one or more locations in the scene (140), generating, based at least on the direction of the visible light source (118) and a pre-determined image capture criterion, a physical configuration of the image capture, wherein the physical configuration comprises at least one selected from a group consisting of a target camera location (145b) and a target object location (144b) in the scene (140), and transmitting a command to a camera device (110) to capture an image of an object in the scene (140) based on the physical con-figuration of the image capture.

Abstract: A method for analyzing an object. The method includes capturing, using a camera device, a sequence of images of a scene comprising a light source attached to a first element of a plurality of elements comprised in an object, detecting, by a hardware processor based on a pattern of local light change across the sequence of images, the light source in the scene, determining, by the hardware processor, a location of the light source in at least one image of the sequence of images, generating, by the hardware processor based on the location of the light source and a dynamic model of the object, a region-of-interest for analyzing the object, and generating an analysis result of the object based on the region-of-interest, wherein a pre-determined task is performed based on the analysis result.

Abstract: A method to stabilize image capture for a camera device (110). The method includes capturing, at an auxiliary frame rate and using an auxiliary imaging element (112) rigidly coupled with the camera device (110), auxiliary images of a light source (143) attached to an object (142), where the auxiliary frame rate exceeds a camera frame rate of the image capture (1211); detecting each of a plurality of locations of the light source (143) in a corresponding one of the auxiliary images (1212); analyzing the plurality of locations to generate a measure of uncontrolled movement (1213); and adjusting, based at least on the measure of uncontrolled movement, the camera device (110) during the image capture of the object by the camera device (110) at the camera frame rate (1214).

Abstract: A method for object tracking. The method includes capturing a sequence of images of a scene, detecting, by a hardware processor, based on a pattern of local light change across the sequence of images, a reflective light source in the scene, comparing, by the hardware processor in response to detecting the reflective light source, a location of the reflective light source in at least one image of the sequence of images and a target position within the at least one image to generate a result, and generating, by the hardware processor based on the result, a control signal for changing a field-of-view of a camera device such that the reflective light source substantially aligns with the target position within the field-of-view, wherein the reflective light source emits an object-reflected light.

Abstract: A method for object tracking. The method includes capturing a sequence of images of a scene, detecting, by a hardware processor based on a pattern of local light change across the sequence of images, a light source in the scene, comparing, by the hardware processor in response to detecting the light source, a location of the light source in at least one image of the sequence of images and a target position within the at least one image to generate a result, and generating, by the hardware processor based on the result, a control signal for changing a field-of-view of a camera device such that the light source substantially aligns with the target position within the field-of-view, wherein the light source is configured to produce an object-identifying code.

Abstract: A method for object tracking. The method includes capturing, using an optical sensor having first and second sensing matrices, an image of a scene (211), analyzing a first pixel of the image to detect imbalanced pixel sensing values from the first and second sensing matrices (212), analyzing a second pixel of the image to detect balanced pixel sensing values from the first and second sensing matrices (213), comparing the imbalanced pixel sensing values and the balanced pixel sensing values to generate a result (214), and determining, based on the result, that a first portion of the scene associated with the first pixel corresponds to a background of the scene, and that a second portion of the scene associated with the second pixel corresponds to a pre-determined light source (215).

Abstract: A method to stabilize a camera device. The method includes receiving, from the camera device mounted in a camera device holder, sensor data representing at least one selected from a group consisting of orientation and movement of the camera device, generating, using a pre-determined algorithm, a control signal based on the sensor data, and adjusting, using the control signal, a geometrical behavior of the camera device holder, wherein the geometrical behavior corresponds to at least one selected from a group consisting of the orientation and the movement of the camera device holder.

Abstract: A method for object tracking. The method includes capturing, using a camera device, a sequence of images of a scene, detecting, based on a pattern of local light change across the sequence of images, a light source in the scene, comparing, in response to detecting the light source, a location of the light source in at least one image of the sequence of images and a target position within the at least one image to generate a result, and generating, based on the result, a control signal for changing a field-of-view of the camera device such that the light source substantially aligns with the target position within the field-of-view.

Abstract: A method for object tracking. The method includes capturing a sequence of images of a scene, detecting, by a hardware processor based on a pattern of local light change across the sequence of images, a light source in the scene, comparing, by the hardware processor in response to detecting the light source, a location of the light source in at least one image of the sequence of images and a target position within the at least one image to generate a result, and generating, by the hardware processor based on the result, a control signal for changing a field-of-view of a camera device such that the light source substantially aligns with the target position within the field-of-view, wherein the light source is configured to produce an object-identifying code.

Abstract: A method for object tracking. The method includes capturing a sequence of images of a scene, detecting, by a hardware processor, based on a pattern of local light change across the sequence of images, a reflective light source in the scene, comparing, by the hardware processor in response to detecting the reflective light source, a location of the reflective light source in at least one image of the sequence of images and a target position within the at least one image to generate a result, and generating, by the hardware processor based on the result, a control signal for changing a field-of-view of a camera device such that the reflective light source substantially aligns with the target position within the field-of-view, wherein the reflective light source emits an object-reflected light.

Abstract: A method for object tracking. The method includes capturing, using a camera device, a sequence of images of a scene, detecting, based on a pattern of local light change across the sequence of images, a light source in the scene, comparing, in response to detecting the light source, a location of the light source in at least one image of the sequence of images and a target position within the at least one image to generate a result, and generating, based on the result, a control signal for changing a field-of-view of the camera device such that the light source substantially aligns with the target position within the field-of-view.