Invention Grant
- Patent Title: Method for object detection in digital image and video using spiking neural networks
-
Application No.: US15269777Application Date: 2016-09-19
-
Publication No.: US10198689B2Publication Date: 2019-02-05
- Inventor: Yongqiang Cao , Qin Jiang , Yang Chen , Deepak Khosla
- Applicant: HRL Laboratories, LLC
- Applicant Address: US CA Malibu
- Assignee: HRL Laboratories, LLC
- Current Assignee: HRL Laboratories, LLC
- Current Assignee Address: US CA Malibu
- Agency: Tope-McKay & Associates
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/04 ; G06K9/46 ; G06K9/42 ; G06K9/44

Abstract:
Described is a system for object detection in images or videos using spiking neural networks. An intensity saliency map is generated from an intensity of an input image having color components using a spiking neural network. Additionally, a color saliency map is generated from a plurality of colors in the input image using a spiking neural network. An object detection model is generated by combining the intensity saliency map and multiple color saliency maps. The object detection model is used to detect multiple objects of interest in the input image.
Public/Granted literature
- US20170300788A1 METHOD FOR OBJECT DETECTION IN DIGITAL IMAGE AND VIDEO USING SPIKING NEURAL NETWORKS Public/Granted day:2017-10-19
Information query