Hikvision, the video surveillance product company, reports that it recently achieved number one position in the Scene Classification category at the ImageNet Large Scale Visual Recognition Challenge 2016.
ImageNet, an image database resource, hosts the Large Scale Visual Recognition Challenge (ILSVRC) to establish a benchmark in object category classification and detection across hundreds of object categories, and millions of images. Run annually since 2010, the challenge attracts participants from more than 50 research institutions.
Organised by Stanford University, Carnegie Mellon University, University of Michigan and UNC Chapel Hill, the ILSVRC seeks to allow researchers to compare progress in detection across a wider variety of objects. Another aim is to measure the progress of computer vision for large-scale image indexing, to enable retrieval and annotation.
Encompassing Object detection, Object localisation, Object detection from video, Scene classification and Scene parsing, the five ILSVRC categories were each considered and evaluated.
For the Scene Classification task, where Hikvision achieved first position, Hikvision Research Institute used inception-style networks and not-so-deep residuals networks that perform better in less training time, according to Hikvision’s experiments and several improvements made for training and testing.
Shiliang Pu, Executive Vice President at Hikvision Research Institute, said: “The technical data resulting from the competition can be applied to vehicle detection, license plate recognition, vehicle sub-brand recognition, human detection, human property analysis, face recognition, image search and much more, to greatly enhance product performance and application results. In the future, the intelligence and automation levels of machines will be improved significantly, and utilised in the sectors of intelligent surveillance, driver assistance system, intelligent traffic sensing, robotics and unmanned aerial vehicles, to name but a few.”
And Cynthia Ho, Vice President of Hikvision, said: “Since it was established, Hikvision Research Institute has accumulated a deep technical background. The results of the LSVRC underline Hikvision Research Institute is at the forefront of computer vision research, and their research results will provide strong and sustainable technical support for Hikvision’s ongoing technology development.”
About the Hikvision Research Institute
The product research and development researchers’ topics include Perceptive Technology, Intelligent Analysis Technology, Big Data and Cloud Storage Technology and Multimedia Technology.
