Abstract: An object detection device including at least one image capture element can capture image data in a field of view and detect types of objects located in that region. Information such as a direction of travel or speed of the object may be used to determine a relative position of the object of interest, for example relative to the object detection device or a target object. The data from multiple devices for a region can be aggregated such that objects can be tracked as they move though the region. Information about the relative position of the object of interest can be used to trigger alerts to users in the area.

Abstract: An object detection device including at least one image capture element can capture image data in a field of view and detect types of objects located in that region. Information such as a direction of travel or speed of the object may be used to determine a relative position of the object of interest, for example relative to the object detection device or a target object. The data from multiple devices for a region can be aggregated such that objects can be tracked as they move though the region. Information about the relative position of the object of interest can be used to trigger alerts to users in the area.

Abstract: An intelligent content display system includes an electronic display and one or more image sensors having a field of view. The image sensors generate image data representing a scene within the field of view. One or more conditions can be determined from the image data, such as types of objects present in the scene, including people, vehicles, among others. Such detected conditions may be used to determine what content to display on the electronic display in order to optimize the display. A model may be trained using training data to make such as a determination based on the present detected condition. The training data may include historical data which may include various performance measure values and the associated display content associated with certain types of detected objects.

Abstract: An object detection system can utilize multiple detection devices, each including at least one image capture element that can capture image data for a region of interest and detect types of objects located in that region. Information such as the coordinates of the objects and descriptors for the objects can be transmitted, along with timestamp data, in order to allow those objects to be counted, tracked, or otherwise monitored by a separate system without transmitting the image data or potentially sensitive data regarding the objects. The data from multiple devices for the region can be aggregated such that objects can be tracked as the objects switch between different fields of view of different devices, based on the location and descriptor data. Information about the presence, location, or movement of certain types of actions can be used to trigger specific actions, such as to allocate resources or generated alarms based thereon.

Abstract: An object detection device including at least one image capture element can capture image data for a region of interest and detect types of objects located in that region. Information such as the coordinates of the objects and descriptors for the objects can be transmitted, along with timestamp data, in order to allow those objects to be counted, tracked, or otherwise monitored by a separate system without transmitting the image data or potentially sensitive data regarding the objects. The data from multiple devices for the region can be aggregated such that objects can be tracked as the objects switch between different fields of view of different devices, based on the location and descriptor data. Information about the presence, location, or movement of certain types of action can then be used to trigger specific actions, such as to allocate resources or generated alarms based thereon.

Abstract: A camera comprises a camera support; a camera housing rotatably disposed on the camera support for pan movement relative to the camera support; a camera lens rotatably disposed in the camera housing for tilt movement relative to the camera housing; a pan motor coupled with the camera housing to drive the camera housing in pan movement relative to the camera support; and a tilt motor coupled with the camera lens to drive the camera lens in tilt movement relative to the camera housing.

Abstract: A system and method for mechanically panning, tilting, and/or zooming a webcam to track a user's face. In one embodiment, such movement is controlled by kernel software in a host to which the webcam sends video data. In this way, a driver in the host kernel handles the face tracking, transparent to the application programs that would access the video. In an alternate embodiment, such movement is controlled by firmware in the webcam itself The video and control signals are sent over the same standard cable, such as a USB bus. In one embodiment, the video is supplied to an instant messaging application. The use of a standard bus (e.g., USB) and the offloading of the face tracking to the webcam and driver allows easy use by the instant messaging application.

Abstract: A system and method for mechanically panning, tilting, and/or zooming a webcam to track a user's face. In one embodiment, such movement is controlled by kernel software in a host to which the webcam sends video data. In this way, a driver in the host kernel handles the face tracking, transparent to the application programs that would access the video. In an alternate embodiment, such movement is controlled by firmware in the webcam itself. The video and control signals are sent over the same standard cable, such as a USB bus. In one embodiment, the video is supplied to an instant messaging application. The use of a standard bus (e.g., USB) and the offloading of the face tracking to the webcam and driver allows easy use by the instant messaging application.

Abstract: A method and apparatus for modifying, or morphing, a video image. A video feed is received which include an image of a person's face. A number of facial features are detected from the video feed. One or more of those facial features are selected and modified, with the modification being applied to the video feed to produce a morphed image. For example, the morphing can produce fun effects such as oversized or too small eyes, lips, etc.

Abstract: A method for modifying selected regions of a target image based on selected regions of a source image. In one embodiment, facial features are detected in a video image from a webcam. One or more of those facial features are selected and superimposed on the target image. Resizing and alpha blending techniques are used to blend the source portions into the target images. For example, this can produce fun effects such as moving the eyes and lips of an image of Mona Lisa.

Abstract: A method and apparatus for modifying, or morphing, a video image. A video feed is received which include an image of a person's face. A number of facial features are detected from the video feed. One or more of those facial features are selected and modified, with the modification being applied to the video feed to produce a morphed image. For example, the morphing can produce fun effects such as oversized or too small eyes, lips, etc.

Abstract: A method and apparatus for modifying, or morphing, a video image. A video feed is received which include an image of a person's face. A number of facial features are detected from the video feed. One or more of those facial features are selected and modified, with the modification being applied to the video feed to produce a morphed image. For example, the morphing can produce fun effects such as oversized or too small eyes, lips, etc.

Abstract: A method and apparatus for modifying, or morphing, a video image. A video feed is received which include an image of a person's face. A number of facial features are detected from the video feed. One or more of those facial features are selected and modified, with the modification being applied to the video feed to produce a morphed image. For example, the morphing can produce fun effects such as oversized or too small eyes, lips, etc.

Abstract: A power management component in a computer system includes an imaging device operatively connected to a computer. When the computer has entered a low power state, the imaging device can continue to operate to detect motion in its field of view. When “enough” motion is detected, the imaging device can signal the computer in a manner as to transition the computer to a full power state. In another aspect of the present invention, the imaging device can determine that there has been insufficient motion for a predetermined period of time and initiate a transition of the computer to a low power state.

Abstract: A system and method for mechanically panning, tilting, and/or zooming a webcam to track a user's face. In one embodiment, such movement is controlled by kernel software in a host to which the webcam sends video data. In this way, a driver in the host kernel handles the face tracking, transparent to the application programs that would access the video. In an alternate embodiment, such movement is controlled by firmware in the webcam itself. The video and control signals are sent over the same standard cable, such as a USB bus. In one embodiment, the video is supplied to an instant messaging application. The use of a standard bus (e.g., USB) and the offloading of the face tracking to the webcam and driver allows easy use by the instant messaging application.

Abstract: A camera comprises a camera support; a camera housing rotatably disposed on the camera support for pan movement relative to the camera support; a camera lens rotatably disposed in the camera housing for tilt movement relative to the camera housing; a pan motor coupled with the camera housing to drive the camera housing in pan movement relative to the camera support; and a tilt motor coupled with the camera lens to drive the camera lens in tilt movement relative to the camera housing.