Large Crowd Count Based on Improved SURF Algorithm

This paper uses an analysis of Speeded up Robust Feature (SURF), based on the method of Linear Interpolation for camera distortion calibration, for high-density crowd counting. The eigenvalues are built on the Gray Level Co-occurrence Matrix (GLCM) features and the SURF features. Though the method of linear interpolation, weight values are interpolated to reduce the error, which is caused by camera distortion calibration. The optimized crowd’s feature vector can be got then. Through the method of support vector regression, the crowd’s number can be forecast by training model. The experiment result shows that the method of this paper has a higher accuracy than the previous methods

Matching Forensic Sketches to Mug Shot Photos using Speeded Up Robust Features

The problem that is dealt in the project is to match a forensic sketch against a gallery of mug shot photos. Research in past decade offered solutions for matching sketches that were drawn while looking at the subject (viewed sketches). In this thesis, emphasis is made on matching the forensic sketches, which are the sketches drawn by specially trained artists in police department based on the description of subject by an eyewitness. Recently, a method for forensic sketch matching using LFDA (Local Feature based Discriminant Analysis) was published. Here, the same problem is addressed using a novel preprocessing technique combined with a local feature descriptor called SURF (Speeded Up Robust Features). In our method, first, the images are preprocessed using a novel preprocessing technique suitable for forensic sketch matching that is based on the cognitive research on human memory. After the preprocessing, SURF is used for matching. SURF extracts features in the form of 64-variable vectors for each image. Then all these vectors of one image are combined to form the SURF descriptor vector for that image. These descriptor vectors are then used for matching. This method of forensic sketch matching was applied to match a dataset of 64 Forensic Sketches against a gallery of 1058 photos. From our experiments, it was observed that our approach of image preprocessing combined with SURF had shown promising results with a good accuracy

Validation of New Technology using Legacy Metrics: Examination of Surf-IA Alerting for Runway Incursion Incidents

New flight deck technology designed to mitigate runway incursions may not be effective in triggering a flight deck alert to avoid high speed surface collisions for runway incursions classified as serious by legacy metrics. This study demonstrated an innovative method of utilizing expert raters and actual high-risk incidents to identify shortcomings of using legacy metrics to measure the effectiveness of new technology designed to mitigate hazardous incidents. Expert raters were used to validate the Enhanced Traffic Situational Awareness on the Airport Surface with Indications and Alerts (SURF-IA) model for providing alerts to pilots to reduce the occurrence of pilot deviation type runway incursion incidents categorized as serious (Category A or B) by the FAA/ICAO Runway Incursion Severity Classification (RISC) model. This study used archival data from Aviation Safety Information Analysis and Sharing (ASIAS) incident reports and video reenactments developed by the FAA Office of Runway Safety. Two expert raters reviewed nine pilot deviation type serious runway incursion incidents. The raters applied the baseline minimally compliant implementation of the RTCA/DO 323 SURF-IA model to determine which incidents would have an alerting SURF-IA outcome. Inter-rater reliability was determined by percentage agreement and Cohen’s kappa and indicated perfect agreement between the raters who assessed six of the incidents with a SURF-IA alerting outcome and three as non-alerting. Specific aircraft states were identified in the baseline SURF-IA model that precluded an outcome of a Warning or Caution alert for all pilot deviation type runway incursion incidents classified as serious by the FAA/ICAO RISC model: (a) wrong runway departures, (b) no alert if traffic entered runway after ownship lift-off from same runway, and (c) helicopter operations. The study concluded that the SURF-IA model did not yield an outcome of a Warning or Caution alert for all pilot deviation type runway incursion incidents classified as serious by the FAA/ICAO RISC model. Even if the SURF-IA model had performed to design, the best it could have achieved would have been a 70% alerting outcome for incidents classified as serious by the legacy RISC model metric. In the qualitative analysis both raters indicated that neither the legacy RISC definition of on-runway nor the SURF-IA definition was appropriate. Hence, the raters’ recommendation was not to adopt either model’s definition, but rather develop an entirely new definition through further study. The raters were explicit about the criticality of appropriate and harmonized definitions used in the models. The different outcomes between the RISC and SURF-IA models may result in misleading information when using the reduction in serious runway incursion incidents as a metric for the benefit of SURF-IA technology. It is recommended that prior to using the ASIAS runway incursion data as a metric for the benefit of SURF-IA, the FAA develop a process for identifying and tracking ASIAS reported PD type serious runway incursion incidents which will not trigger a SURF-IA alert. Consideration should be made to improving the SURF-IA model technical capabilities to accommodate all possible aircraft states that the RISC model would classify as serious runway incursion incidents

Analytical methods to predict the surf-riding threshold and the wave-blocking threshold

For the safe design and operation of high-speed craft it is important to predict their behaviour in waves. There still exists a concern, however, in the framework of the International Maritime Organization (IMO) with regards to the stability criteria. In particular, for high-speed craft, the higher limit of operational speed resulting in wave blocking as well as the lower limit known as the surf-riding threshold are important features. Therefore, by applying the polynomial approximation to wave induced surge force including the nonlinear surge equation, an analytical formula in order to predict the wave blocking and surf-riding thresholds is proposed. Comparative results of the surf-riding threshold and wave blocking threshold utilizing the proposed formula and the numerical bifurcation analysis indicate fairly good agreement. In addition, previously proposed analytical formulae are inclusively examined. It is concluded that the analytical formulae based on a continuous piecewise linear approximation and Melnikov’s method agrees well with the wave blocking threshold and the surf-riding threshold obtained by the numerical bifurcation analysis and the free-running model experiment. As a result, it is considered that these two calculation methods could be recommended for the early design stage tool for avoiding broaching and bow-diving

Analytical methods to predict the surf-riding threshold and the wave-blocking threshold

For the safe design and operation of high-speed craft it is important to predict their behaviour in waves. There still exists a concern, however, in the framework of the International Maritime Organization (IMO) with regards to the stability criteria. In particular, for high-speed craft, the higher limit of operational speed resulting in wave blocking as well as the lower limit known as the surf-riding threshold are important features. Therefore, by applying the polynomial approximation to wave induced surge force including the nonlinear surge equation, an analytical formula in order to predict the wave blocking and surf-riding thresholds is proposed. Comparative results of the surf-riding threshold and wave blocking threshold utilizing the proposed formula and the numerical bifurcation analysis indicate fairly good agreement. In addition, previously proposed analytical formulae are inclusively examined. It is concluded that the analytical formulae based on a continuous piecewise linear approximation and Melnikov’s method agrees well with the wave blocking threshold and the surf-riding threshold obtained by the numerical bifurcation analysis and the free-running model experiment. As a result, it is considered that these two calculation methods could be recommended for the early design stage tool for avoiding broaching and bow-diving

Wavelet-based Image Splicing Forgery Detection

Digital image processing is a progressive field which has made development over period of time in a way that it becomes easy to play with artifacts of image by manipulating them using transformation such as copy-paste, copy-move, rotation, smoothing of boundaries, scaling, color enhancing, resizing, addition of noise, blurring, compressing etc. Forgery performed with a digital image, raising a doubt about the authenticity of it. Image splicing is one of the most used method for tampering an image by compositing two or many image fragments to create a spliced image. In this paper, a wavelet-based mechanism is proposed to detect image splicing forgery by taking edge information of an image as a distinguishing feature by performing edge analysis using wavelet transform. Haar-based Discrete Wavelet Transform (DWT) is used for edge analysis that decompose an image into four sub-images and it followed by Speed-Up Robust Feature (SURF) method which is a keypoint-based feature extractor technique. SURF extracts features from the decomposed images of DWT and used that features for performing classification using SVM linear classifier

EFEKTIVITAS IKLAN XL BEBAS INTERNET VERSI NOAH (Studi Deskriptif Kuantitatif Efektivitas Iklan XL Bebas Internet Versi Noah “Rp. 5000 Bebas Internetan 6 Bulan Di Televisi)

Ad-free surf XL first appeared on television on February 4, 2013 (www.xl.co.id / xlbebas). In making ad -free surf XL , PT .Excelcomindo Pratama Tbk as the XL product manufacturers spend large enough that 6 Billion with top bands NOAH as brand image PT. Excelcomindo Pratama Tbk hopes to benefit greatly from the high surf freely XL product sales . XL issued a bold move freely because the number of internet users XL data currently account for about 60 % of the total subscriber base of 42.3 million people XL (http://kalbar.antaranews.com) The effectiveness of advertising is an advertising effectiveness both on the consumer and society . In essence , an effective advertising if the ad is said to be deeply imprinted in the minds of consumers. Direct Rating Method ( DRM ), which is measured by five indicators as follows: attention (attention), comprehension (readthrougness), cognitive responses (cognitive), affective responses (affection) and attitude toward the ad (behavior). Techniques used in the sampling is non- probability sampling technique that purposive sampling is a sampling technique with certain considerations, among others, respondents aged between 16-35 years, respondents domicile in Surabaya, and respondents who had seen a television advertisement XL free internet for 30 seconds. In this study the samples used were as many as 100 people . Based on the analysis of the effectiveness of Internet advertising is free advertising XL version of Noah to the public through the medium of television Surabaya using the Direct Rating method (DRM), the overall average score of DRM " Xl Free Internet version of NOAH, Rp. 5000 6 months free surf " on television is included in the scale range is very effective. Dimensions of attention (attention), the dimensions of understanding (readthrougness), cognitive responses (cognitive), affective responses (affection) and attitude toward the ad (behavior ) of the ad Xl Free Internet Version NOAH , Rp. 5000 6 months free surf " on television included in the scale range is very effectiv

Building and testing a gravure paper conformity tester

The gravure industry does not have an inexpensive tester which can accurately predict the behavior of paper on a gravure press. The most acceptable tester currently available is the Parker Print Surf. A conformity tester, based on compression of paper into a thin channel, was designed and built. It was compared to the Parker Print Surf and found to be poorer in predicting ability except in the special case of groundwood papers. More study is necessary. Several unusual techniques were used. The first involved running sheets of paper through a web press. This technique had a slight leading sample distortion problem. The second involved a new method for designating the skipped dot count of a paper sample. This technique was based on finding the darkest step of a 16 step gray scale which had three skipped dots. It was superior to the traditional method of designating skipped dots in terms of data collection and data analysis