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;

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)
Full-Text   |   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).

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