A robust system for real-time pedestrian detection and tracking

A real-time pedestrian detection and tracking system using a single video camera was developed to monitor pedestrians. This system contained six modules: video flow capture, pre-processing, movement detection, shadow removal, tracking, and object classification. The Gaussian mixture model was utilized to extract the moving object from an image sequence segmented by the mean-shift technique in the pre-processing module. Shadow removal was used to alleviate the negative impact of the shadow to the detected objects. A model-free method was adopted to identify pedestrians. The maximum and minimum integration methods were developed to integrate multiple cues into the mean-shift algorithm and the initial tracking iteration with the competent integrated probability distribution map for object tracking. A simple but effective algorithm was proposed to handle full occlusion cases. The system was tested using real traffic videos from different sites. The results of the test confirm that the system is reliable and has an overall accuracy of over 85%.

Optic flaws detection and location based on a plenoptic camera

In this Letter,we propose an on-line inspection method based on a plenoptic camera to detect and locate flaws of optics.Specifically,due to the extended depth of field of the plenoptic camera,a series of optics can be inspected efficiently and simultaneously.Moreover,the depth estimation capability of the plenoptic camera allows for locating flaws while detecting them.Besides,the detection and location can be implemented with a single snapshot of the plenoptic camera.Consequently,this method provides us with the opportunity to reduce the cost of time and labor of inspection and remove the flaw optics,which may lead to performance degradation of optical systems.

Short-working-distance optical imaging system and method for surface detection of underwater structures

In the surface imaging of underwater structures, long working distance will reduce image quality due to the turbidity of water. To acquire high definition and large field of view(FOV) images for surface detection, a short-working-distance underwater imaging system is proposed based on camera array. A multi-view calibration and rectification method is developed. A look-up table(LUT) method and a multi-resolution spline(MRS) method are applied to stitch array images real-time and seamlessly.Experiments both in the air and in the water are conducted. Strength and weakness of the LUT and MRS methods are discussed.Based on the results, the effectiveness in surface detection of underwater structures is verified.

Single molecule electro-catalysis of non-fluorescent molecule

Single molecule catalysis is very powerful in revealing catalytic mechanism at the single molecule level.But fluorescent molecule is always necessary to take part into the catalysis directly in previous research.In order to study the single molecule electro-catalysis of non-fluorescent molecule（SMECNFM） on nanocatalyst, we couple the SMECNFM with a single molecule fluorescence reaction. A certain number of fluorescent molecules will be generated and detected when the SMECNFM happens. Through this method, we can detect the electro-oxidation reaction of one HCOONa molecule. The stability of Pt nanocatalyst supported on active carbon is studied at the single molecule level by this method. This paper also provides a general way to make ultra-sensitive sensor, and to study the SMECNFM for the molecules,such as formic acid, hydrogen, oxygen, etc., on single nanoparticle.