Patent ID: 11915430
Assignee: CANON KABUSHIKI KAISHA
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. An image processing method to be executed by an image processing apparatus, the image processing method comprising:
acquiring time-series images captured by an image sensor;
setting a direction of a detection line for measuring a flow quantity of targets;
setting a direction of measuring the flow quantity of the targets in the time-series images in a direction intersecting the direction of the detection line;
estimating information representing the flow quantity of the targets based on a plurality of images acquired from the time-series images and the direction of measuring the flow quantity;
measuring a number of people passing the detection line based on the estimated flow quantity of the targets; and
controlling a display to display the information representing the flow quantity of the targets and the number of people passing the detection line that is estimated based on the plurality of images acquired from the time-series images and the direction of measuring the flow quantity of the targets, together with information indicating the direction of measuring the flow quantity of the targets,
wherein estimating information representing the flow quantity comprises:
estimating the information representing the flow quantity of the targets with a convolution neural network having convolutional layers and deconvolutions layers, and
receiving the information on the direction of measuring the flow quantity of the targets, and determining a weight coefficient for the convolution layers based on the information on the direction of measuring the flow quantity of the targets, at least one of the convolution layers generating a feature map, and
selecting a deconvolution layer among the deconvolution layers to perform a deconvolution on the feature map to generate the flow quantity.