Ching-Tang Hsieh

A Kinect-based people-flow counting system

This paper proposed a bi-directional people-flow counting system with Kinect. It can also be applied to multi-flow to correspond with the demand for the practical application. Firstly, we set the Kinect above the doorway to capture the situation of pedestrian flow. Then this system detects people in the covering area using the depth image information from Kinect system. And we do the morphological processing like erosion to the object and find the region of interest (ROI) often performed on using a mapping-based detection approach. After these previous steps, this system set a detected line and let people go through it. Therefore, we can get people number of the experimental result. For the multi-flow case, it will cause the occlusion problem, so we could apply the depth information to distinguish the target on occlusion problem. Final, we compare the experimental results with the manual count results and other research. Under normal circumstances, our system provides not only almost 100% for bi-directional counting but also correspond with the demand for real-time.

Speech enhancement based on sparse representation under color noisy environment

Recently, sparse algorithm for signal enhancement is more and more popular issues. In this paper, we apply it to enhance speech signal. The process of sparse theory is classified into two parts, one is for dictionary training part and the other is signal reconstruction part. We focus environment on both white Gaussian noise and color noise filtering based on sparse. The orthogonal matching pursuit (OMP) algorithm is used to optimize the sparse coefficients X of clean speech dictionary, where clean speech dictionary is trained by K-SVD algorithm. Then, we multiply these two matrixes D and X to reconstruct the clean speech signal. Denoising performance of the experiments shows that our proposed method is superior to other state of art methods in four kinds of objective quality measures as SNR, LLR, SNRseg and PESQ.

A simple automatic facial aging/rejuvenating synthesis method

At present, the synthesizing faces of different ages does not emphasize on feature alignment and rectification of twisted images. If these situations do happen, they might cause failure and inaccuracy on synthesizing images. In this paper, we propose a reversible human facial aging/rejuvenating synthesis system which is implemented by Active Shape Model (ASM) integrated with Log-Gabor Wavelet, which can be used to search for the dementia elderly. First, we use AdaBoost and ASM algorithm to extract the feature set of human face, and rectify them by the concept of facial geometric invariance. The invariant concepts are the distance between inner corners of both eyes and the distance between the nose and chin. Then, we find manually one target image which is similar to the test image from the database, and analyze age texture of this human image by Log-Gabor wavelet in order to retrieve decomposition maps. Finally, we can effectively simulate human facial images of people of different ages by controlling the number of decomposition map of images and objectively judge the results via the density of wrinkles.

A study of automatic separation and recognition for overlapped fingerprints

Abstract This paper presents an improved fingerprint recognition system for overlapping fingerprint of two fingers. The developed system can automatically and precisely separate an overlapping fingerprint into two areas, an overlapping area and a non-overlapping area, by analyzing their orientation fields and complicities. A method being able to remove a misjudging core of the fingerprint from the overlapping area is also proposed in this paper. Moreover, a recursive correction algorithm and a restrictions relaxation labeling algorithm are applied to separate two fingerprints from the determined overlapping fingerprint area, and the Gabor filter is applied to enhance figure quality of the two separated fingerprints. After that, the VeriFinger 6.2 SDK is used to identify the fingerprints. In the experiments, our system uses the fingerprints from the two public databases. Receiver Operating Characteristic (ROC) and Cumulative Match Characteristic (CMC), are used to examine the proposed fingerprint recognition system. The average recognition rate of our system is 85.7%. The experiments results show the effectiveness of the proposed system.

Reversible System Based on Block-PCA

Traditional principal components analysis (PCA) is a useful method to reduce dimension of data nowadays. However, PCA method only be employed on dimensions decrease. In this paper, we propose a block-based principal components analysis method to make a reversible transform system. Firstly, the input 1-D or 2-D signal is divided to the same size parts. And then the parts are converted to PCA operation inputs. Next, the projection coefficients are calculated via the signals which decrease its mean and the eigenvector that is obtained from decomposition of covariance matrix. We define the operation is block-PCA transform, and the projection coefficients that is a new domain is different with normal domain. In inverse transform operation, we use inverted based function to recover original signals. In experimental result, we employ signal-noise-rate (SNR) and peak-signal-noise-rate to prove our proposed system is a reversible system that inverse transform process can recover original signals losslessly. In addition, we also check this system which has the data hiding capacity. Finally, without considered quantization, we compare the compressing rate of capacity with exist reversible system. The result shows our system has lower capacity.

Touch interface for markless AR based on Kinect

We develop an augmented reality (AR) environment with hidden-marker via touch interface using Kinect device, and then also set up a touch painting game with the AR environment. This environment is similar to that of the touch screen interface which allows user to paint picture on a tabletop with his fingers, and it is designed with depth image information from Kinect device setting up above a tabletop. We incorporate support vector machine (SVM) to classify painted pictures which correspond to the inner data and call out its AR into the tabletop in color images information from Kinect device. Because users can utilize this similar touch interface to control AR, we achieve a marker-less AR and interactive environment.

Degradation algorithm of compressive sensing for integer DCT with application to H. 264/AVC

Compressive sensing (CS) is an innovative approach for the acquisition of signals having a sparse or compressible representation in some basis. In this paper, we extend and modify the previous compression work that uses the degradation algorithm of CS for JPEG with 2-D DCT to the H.264/AVC with the integer 2-D DCT. Through simulation results we show that the complexity with the new proposed scheme can be dramatically reduced, and simultaneously to achieve better PSNR performance compared with the conventional CS approach using the 2-D DCT transform.

Reversible digital image hiding based on multilevel histogram modification and halftoning technique

This paper presents a novel image hiding method based on multilevel histogram modification and halftoning technique. We use a multilevel histogram modification to finish the data embedding and extracting. The halftone data is extracted from stego-image, and secret image is achieved from LUT inverse halfton technique. Experimental results show that our method provides high capacity of digital image embedding while keeping the distortions at a low level.

Watermarking-based inpainting under data transmition environment

This study proposes a novel image inpainting technique based on watermarking and halftoning. This technique use LSB method to embed error diffusion halftone image into original image for protecting the image. In image repair process, we use LSB method to extract the halftone information, and the reference image is achieved from LUT inverse halftone. Finally we use the reference image to finish the image inpainting work. Experiment shows the performance of our method is very excellent in image inpainting.