Abstract: System and method for reducing false negatives in object detection, including: extracting an object of interest from a respective image in a first set of training data that includes in distribution (ID) data. For each of the object of interest extracted from the respective image in the first set of training data: fusing the object of interest with an image from a second set of data that does not include any objects of interest to form a fused image; adding the fused image to the training data; and using the training data to train a detection model for object detection.

Abstract: System and method for reducing false negatives in object detection, including: extracting an object of interest from a respective image in a first set of training data that includes in distribution (ID) data. For each of the object of interest extracted from the respective image in the first set of training data: fusing the object of interest with an image from a second set of data that does not include any objects of interest to form a fused image; adding the fused image to the training data; and using the training data to train a detection model for object detection.

Abstract: A method includes: identifying, using a first image processing process, one or more first regions of interest (ROI), the first image processing process configured to identify first ROIs corresponding to a predefined portion of a respective human user in an input image; providing a downsized copy of a respective first ROI identified in the input image as input for a second image processing process, the second image processing process configured to identify a predefined feature of a respective human user and to determine a respective control gesture of a plurality of predefined control gestures corresponding to the identified predefined feature; and in accordance with a determination that a first control gesture is identified in the respective first ROI identified in the input image, and that the first control gesture meets preset criteria, performing a control operation in accordance with the first control gesture.

Abstract: A method and system of controlling an appliance includes: receiving, from a first home appliance, a request to start video image processing for detecting a motion gesture of a user; processing a sequence of image frames captured by a camera corresponding to the first home appliance to identify a first motion gesture; selecting a second home appliance as a target home appliance for the first motion gesture in accordance with one or more target selection criteria, including first target selection criteria based on a location of the user relative to the first home appliance and second target selection criteria based on a level of match between the first motion gesture and a first control gesture corresponding to the second home appliance; and generating a control command to control the second home appliance in accordance with the first control gesture corresponding to the second home appliance.

Abstract: A method and system of controlling an appliance includes: receiving, from a first home appliance, a request to start video image processing for detecting a motion gesture of a user; processing a sequence of image frames captured by a camera corresponding to the first home appliance to identify a first motion gesture; selecting a second home appliance as a target home appliance for the first motion gesture in accordance with one or more target selection criteria, including first target selection criteria based on a location of the user relative to the first home appliance and second target selection criteria based on a level of match between the first motion gesture and a first control gesture corresponding to the second home appliance; and generating a control command to control the second home appliance in accordance with the first control gesture corresponding to the second home appliance.