Notice of RetractionStudy of head recognition based on biomimetic pattern recognition in complicated traffic environment

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Analyzing object recognition in complicated traffic environment with principle of point distribution in multi-dimensional space and Biomimetic Pattern Recognition, a novel algorithm of automatic threshold for head recognition is proposed basing on multi-weight and triangle covering. Getting the initial head samples from head detection of the looked-down video stream, extracting features of these samples and mapping them into multi-dimensional feature space, then obtaining the density-threshold radius according to the distribution density of head samples automatically to cover all the heads with triangle, lastly further dividing the samples that are overlapping covered in order to discriminate the head images. Results of experiment in UCI database and video data of head show that the method is valid and efficient.