Object Detection System and Object Detection Method

A non-transitory computer readable recoding medium storing thereon a program causing a computer to execute an object detection process, the object detection process comprising:

• extracting a first feature vector from a first region of an image using a first subnetwork;
• determining a second region of the image by processing the first feature vector with a second subnetwork, wherein a size of the first region differs from a size of the second region;
• extracting a second feature vector from the second region of the image using the first subnetwork;
• and
• detecting the object using a third subnetwork on a basis of the first feature vector and the second feature vector to produce a bounding box surrounding the object and a class of the object, wherein the first subnetwork, the second subnetwork, and the third subnetwork form a neural network.

An objection detection system comprising:

• a human machine interface;
• a storage device including neural networks;
• a memory;
• a network interface controller connectable with a network being outside the system;
• an imaging interface connectable with an imaging device;
• and
• a processor configured to connect to the human machine interface, the storage device, the memory, the network interface controller and the imaging interface,
• wherein the processor executes instructions for detecting an object in an image using the neural networks stored in the storage device, wherein the neural networks perform steps of:
• extracting a first feature vector from a first region of the image using a first subnetwork;
• determining a second region of the image by processing the first feature vector with a second subnetwork, wherein a size of the first region differs from a size of the second region;
• extracting a second feature vector from the second region of the image using the first subnetwork;
• and
• detecting the object using a third subnetwork on a basis of the first feature vector and the second feature vector to produce a bounding box surrounding the object and a class of the object, wherein the first subnetwork, the second subnetwork, and the third subnetwork form a neural network.