Patent classifications
G06V10/147
Object behavior anomaly detection using neural networks
In various examples, a set of object trajectories may be determined based at least in part on sensor data representative of a field of view of a sensor. The set of object trajectories may be applied to a long short-term memory (LSTM) network to train the LSTM network. An expected object trajectory for an object in the field of view of the sensor may be computed by the LSTM network based at least in part an observed object trajectory. By comparing the observed object trajectory to the expected object trajectory, a determination may be made that the observed object trajectory is indicative of an anomaly.
Systems and methods of covert identification
In order to avoid friendly fire incidents in the combat theater, novel covert identification systems and methods of identifying friendly forces are provided. The systems include at least a spectroscopic imaging device and a marker that interact with each other by using a synchronized, predetermined filter tuning sequence. The filter tuning sequence enables interacted photons to wavelength hop according to the predetermined tuning sequence. As a result, the covert identification system allows friendly forces to clearly identify each while avoiding detection by enemy forces that employ conventional broadband and night vision sensors.
TESTING EQUIPMENT WITH MAGNIFYING FUNCTION
Embodiments disclose a device for testing biological specimen. The device includes a sample carrier and a detachable cover. The sample carrier includes a specimen holding area. The detachable cover is placed on top of the specimen holding area. The detachable cover includes a magnifying component configured to align with the specimen holding area. The focal length of the magnifying component is from 0.1 mm to 8.5 mm. The magnifying component has a linear magnification ratio of at least 1.
VEHICULAR FORWARD VIEWING IMAGE CAPTURE SYSTEM
A vehicular forward viewing image capture system includes an accessory module configured for attachment at an in-cabin side of a windshield of a vehicle, whereby a CMOS image sensor views through the windshield forward of the vehicle. With the accessory module attached at the in-cabin side of the windshield, and while the vehicle is traveling along a road, captured image data is processed to determine movement of an object of interest viewed by the image sensor. Multiple frames of captured image data are processed in determining movement of the object of interest. The accessory module includes an electrical connector for electrically connecting to a vehicle wiring system of the vehicle. Image data captured by the image sensor may be processed for an automatic headlamp control system of the equipped vehicle. The vehicular forward viewing image capture system may compensate for misalignment of the image sensor.
VEHICULAR FORWARD VIEWING IMAGE CAPTURE SYSTEM
A vehicular forward viewing image capture system includes an accessory module configured for attachment at an in-cabin side of a windshield of a vehicle, whereby a CMOS image sensor views through the windshield forward of the vehicle. With the accessory module attached at the in-cabin side of the windshield, and while the vehicle is traveling along a road, captured image data is processed to determine movement of an object of interest viewed by the image sensor. Multiple frames of captured image data are processed in determining movement of the object of interest. The accessory module includes an electrical connector for electrically connecting to a vehicle wiring system of the vehicle. Image data captured by the image sensor may be processed for an automatic headlamp control system of the equipped vehicle. The vehicular forward viewing image capture system may compensate for misalignment of the image sensor.
IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
An image processing apparatus detects a person in a visible light image obtained by capturing that uses visible light, detects a person in an invisible light image obtained by capturing that uses invisible light in a capturing region that includes a capturing region of the visible light image, and determines that a person detected in the visible light image who is not detected in the invisible light image is a person who is actually present.
IMAGE PRODUCTION SYSTEM AND METHOD
A system for image production in a KTV setting uses more than one display screen, a first screen for displaying a star MV and a song menu and a second screen for images of a singer as captured by cameras within the KTV setting. The system includes a capturing unit and a processing unit. The capturing unit captures images of the singer. The processing unit produces a singer MV according to the images of the single or plurality of singers, which can be enhanced with special effects, and displays the singer MV on the second screen.
MEDIA TYPE SELECTION FOR IMAGE DATA
Systems, apparatuses, and methods related to media type selection for image data are described. Memory systems can include multiple types of memory media (e.g., volatile and/or non-volatile) and can write data to the memory media types. Image data inputs can be written (e.g., stored) in a particular type of memory media characteristics. For instance, selection of memory media can be based on one or more attributes of the image data. In an example, a method can include receiving, by a memory system that comprises a plurality of memory media types, image data from a first image sensor of a plurality of image sensors, identifying one or more attributes of the image data, and writing, based at least in part on the one or more attributes of the image data, the image data to a first memory media type of the plurality of memory media types.
Camera system for intelligent driver assistance system, and driver assistance system and method
The present disclosure relates to a camera system for an advanced driving assistance system (ADAS). For example, a voltage logic and a memory logic are used in a front-view camera system for an ADAS. The camera system includes a lens configured to capture a region ahead of a vehicle, a lens barrel configured to accommodate the lens in an internal space thereof, a lens holder coupled to the lens barrel, an image sensor configured to sense an image captured by the lens, an image processor configured to receive image data from the image sensor and process the received image data, and a camera micro-control unit (MCU) configured to communicate with the image processor and receive the data processed by the image processor.
Mobile terminal and method for controlling the same
A mobile terminal in accordance with one embodiment of the present disclosure include: a flicker sensor configured to recognize a surrounding environment of the mobile terminal; a time of flight (ToF) sensor configured to measure a depth of a subject and a camera configured to capture the subject to generate an image of the subject; and a controller configured to control the camera to recognize the surrounding environment by operating the flicker sensor in response to a user input for operating the camera, to determine a light output time of the ToF sensor in response to the surrounding environment, and to capture the subject while measuring the depth of the subject by operating the ToF sensor in an operation mode corresponding to the light output time. Other embodiments are also available.