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 vehicle sensing system is for being disposed on a vehicle. The vehicle sensing system includes a calculating unit, which includes a turning calculating module and a vehicle dimension dataset. The vehicle dimension dataset includes at least one of a wheelbase, a vehicle width, a front overhang and a rear overhang of the vehicle. The calculating unit is configured to receive a turning dataset of the vehicle. Based on the turning calculating module, the calculating unit is configured to determine an inner front wheel and an inner rear wheel. The calculating unit is configured to further determine a turning alarm zone in accordance with the vehicle dimension dataset and the turning dataset. The turning alarm zone is dependent on at least one of time and the turning dataset.

Abstract: A motorized camera mobile device stand that includes a motorized component and an alignment component. The motorized component is configured to receive a command signal from a camera mobile device, and place, in response to the command signal, the camera mobile device in multiple positions for capturing images. The positions include multiple rotation angles with respect to a rotation axis and multiple tilting angles with respect to a tilting axis. The alignment component is configured to substantially align, prior to receiving the command signal and based on a laser beam, the rotation axis with a camera lens of the camera mobile device, substantially align, prior to receive the command signal and based on the laser beam, the tilting axis with the camera lens, and constrain the camera mobile device such that the camera lens substantially overlaps an intersection of the rotation axis and the tilting axis in each position.

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 motorized tilt and swivel device that includes a motorized component and an alignment component. The motorized component is configured to receive a command signal from a camera mobile device, and place, in response to the command signal, the camera mobile device in multiple positions for capturing images. The positions include multiple rotation angles with respect to a rotating axis and multiple tilting angles with respect to a tilting axis. The alignment component is configured to substantially align, prior to receiving the command signal and based on a alignment marker, the rotating axis with a camera lens of the camera mobile device, substantially align, prior to receiving the command signal and based on the alignment marker, the tilting axis with the camera lens, and constrain the camera mobile device such that the camera lens substantially overlaps an intersection of the rotating axis and the tilting axis in each position.

Abstract: A method for controlling a field-of-view (FOV) of a camera device. The method includes receiving, in response to the camera device capturing and broadcasting an image, a plurality of FOV selections from a plurality of viewer devices, where each of the plurality of FOV selections comprises a request to adjust the FOV of the camera device, selecting, based on a pre-determined criterion, an aggregate FOV selection from the plurality of FOV selections, and generating, in response to selecting the aggregate FOV selection, a control signal for adjusting the FOV of the camera device based on the aggregate FOV selection, where the camera device broadcasts, to the plurality of viewer devices, an adjusted image captured in response to adjusting the FOV of the camera device.

Abstract: A motorized camera mobile device stand that includes a motorized component and an alignment component. The motorized component is configured to receive a command signal from a camera mobile device, and place, in response to the command signal, the camera mobile device in multiple positions for capturing images. The positions include multiple rotation angles with respect to a rotation axis and multiple tilting angles with respect to a tilting axis. The alignment component is configured to substantially align, prior to receiving the command signal and based on a laser beam, the rotation axis with a camera lens of the camera mobile device, substantially align, prior to receive the command signal and based on the laser beam, the tilting axis with the camera lens, and constrain the camera mobile device such that the camera lens substantially overlaps an intersection of the rotation axis and the tilting axis in each position.

Abstract: A motorized tilt and swivel device that includes a motorized component and an alignment component. The motorized component is configured to receive a command signal from a camera mobile device, and place, in response to the command signal, the camera mobile device in multiple positions for capturing images. The positions include multiple rotation angles with respect to a rotating axis and multiple tilting angles with respect to a tilting axis. The alignment component is configured to substantially align, prior to receiving the command signal and based on a alignment marker, the rotating axis with a camera lens of the camera mobile device, substantially align, prior to receiving the command signal and based on the alignment marker, the tilting axis with the camera lens, and constrain the camera mobile device such that the camera lens substantially overlaps an intersection of the rotating axis and the tilting axis in each position.

Abstract: A method for controlling a field-of-view (FOV) of a camera device. The method includes receiving, in response to the camera device capturing and broadcasting an image, a plurality of FOV selections from a plurality of viewer devices, where each of the plurality of FOV selections comprises a request to adjust the FOV of the camera device, selecting, based on a pre-determined criterion, an aggregate FOV selection from the plurality of FOV selections, and generating, in response to selecting the aggregate FOV selection, a control signal for adjusting the FOV of the camera device based on the aggregate FOV selection, where the camera device broadcasts, to the plurality of viewer devices, an adjusted image captured in response to adjusting the FOV of the camera device.

Abstract: Provided herein is a method of reprogramming a non-neuronal cell to a neuron. Aspects of the present disclosure relate to using cell reprogramming agent suppresses the expression or activity of PTB to convert a non-neuronal cell into a neuron. Also provided herein is a method of treating neurodegenerative disease by reprogramming non-neuronal cells in vivo to functional neurons.

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 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.