Next Article in Journal
Chromium and Ruthenium-Doped Zinc Oxide Thin Films for Propane Sensing Applications
Previous Article in Journal
Using a Standing-Tree Acoustic Tool to Identify Forest Stands for the Production of Mechanically-Graded Lumber
Article Menu

Export Article

Open AccessArticle
Sensors 2013, 13(3), 3409-3431; doi:10.3390/s130303409

Spatio-Temporal Saliency Perception via Hypercomplex Frequency Spectral Contrast

Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an 710049, China
Authors to whom correspondence should be addressed.
Received: 1 January 2013 / Revised: 19 February 2013 / Accepted: 7 March 2013 / Published: 12 March 2013
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [7782 KB, uploaded 21 June 2014]   |  


Salient object perception is the process of sensing the salient information from the spatio-temporal visual scenes, which is a rapid pre-attention mechanism for the target location in a visual smart sensor. In recent decades, many successful models of visual saliency perception have been proposed to simulate the pre-attention behavior. Since most of the methods usually need some ad hoc parameters or high-cost preprocessing, they are difficult to rapidly detect salient object or be implemented by computing parallelism in a smart sensor. In this paper, we propose a novel spatio-temporal saliency perception method based on spatio-temporal hypercomplex spectral contrast (HSC). Firstly, the proposed HSC algorithm represent the features in the HSV (hue, saturation and value) color space and features of motion by a hypercomplex number. Secondly, the spatio-temporal salient objects are efficiently detected by hypercomplex Fourier spectral contrast in parallel. Finally, our saliency perception model also incorporates with the non-uniform sampling, which is a common phenomenon of human vision that directs visual attention to the logarithmic center of the image/video in natural scenes. The experimental results on the public saliency perception datasets demonstrate the effectiveness of the proposed approach compared to eleven state-of-the-art approaches. In addition, we extend the proposed model to moving object extraction in dynamic scenes, and the proposed algorithm is superior to the traditional algorithms. View Full-Text
Keywords: spatio-temporal; salient object; hypercomplex; visual attention; visual perception; spectral contrast spatio-temporal; salient object; hypercomplex; visual attention; visual perception; spectral contrast

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Li, C.; Xue, J.; Zheng, N.; Lan, X.; Tian, Z. Spatio-Temporal Saliency Perception via Hypercomplex Frequency Spectral Contrast. Sensors 2013, 13, 3409-3431.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top