ࡱ> 5@ v+bjbj22 "nXXv"2222222FjjjjDFb*~~~~~ )))))))$+Rj-r)-2"  "")22~~'*]%]%]%"2~2~)]%")]%"]%%%22 &~r ^,j;#.%&2*0b*&-i#- &FF2222-2 & v!T]%s!D! ))FF$jG%FFj A Comparison of Neural Network Architechures for Human Recognition in a Digital Image F. Scott Sasser, David B. Ingram, Leo J. Rand UNCW Pattern Classification CSC475 Gene A. Tagliarini PhD. Introduction Computerized person detection is a problem which lends itself to useful and pertinent applications across many domains. Computer implementations using techniques of pattern classification have proven to be well suited to tasks of this nature. Our goal in this study is to compare the performance of two neural network classifying architechures as applied to a real and local problem currently in search of a solution.  Problem Statement The problem that we address in this paper is person detection in digital images. This study was crafted in response to a need expressed by Jeff Hill, UNCWs Associate Dean of Infrastructure and Technology of the Arts and Sciences Department. This problem originated with the Army Corps of Engineers, who were seeking a method for estimating human beach traffic for assisting cost-benefit analysis in beach renourishment projects. Specifically, there is a need to automatically count the number of humans present on a beach at a particular date and time. Pictures of the coast were taken during a particular day of interest using a high quality 35mm camera. These pictures were taken by a person riding in a helicopter. While consistency was attempted, the variables present are subject to human error. These variables include, but are not limited to, altitude of the aircraft while the picture is taken, distance from the aircraft to the coast, angle of the aircraft to the coast. Perspective variations complicate the problem of human recognition in these conditions. Variations introduce problems of uncharacteristic pose and depth for the observed object. They can also create occlusions as was the case in our data for a human on the beach sitting under an umbrella. Human classification is difficult enough without these hindrances as humans themselves are subject to infinite variations in pose, color, and scale. The problem of image noise and lack of a uniform viewing background for the subjects are further complications to be overcome. Experimental Procedures The experimental data consists of a single JPG digital image of 5959 x 3946 pixel dimensions. This image is a 24 mega pixel 35mm negative scan of a beach image. A program developed in UNCWs Software Engineering course this semester called D.I.P.S. is used to open the image and apply preprocessing filters. Applied preprocessing consists of applying the Java Advanced Imaging (JAI) toolkits contrast enhancement, brightness and median filters to the original JPG image. Sobel Gradient Magnitude filters provide edge detection and edges are further defined by additional contrast enhancement and brightness manipulations. Feature Extraction: Segmentation and grouping was obtained with relative success, however automated feature extraction has not yet been realized. Therefore, input images for comparison and classification were manually extracted from the source image. Features were masked using a square mask and were cropped out and zoomed to a resolution of 25 by 25 pixels. Sobel edge detection was performed at this stage and the image was converted to grayscale. Training images consisted of 25 x 25 pixel images, 1 of a standing individual, 1 sitting individual, and 1 umbrella. Test images consisted of 25 x 25 pixel images of 7 standing individuals, 11 sitting individuals, and 3 umbrellas. The test images were then converted to vectors of length 625 containing normalized grayscale pixel intensities. See Appendix A.  Image of an individual standing, and a the same image with a sobel edge detection performed. Classification: The classification procedures for this experiment utilize Feed-forward Neural Networks and Adaptive Resonance Theory 2. In order to provide the FFNN with multiple trainings, a pattern generator has been created to create n by n patterns consisting of a vertical line, horizontal line, plus sign, diagonal line forward, diagonal line backwards, and an X pattern. These patterns are incorporated into the training of the FFNN to provide the network with basic patterns for comparison to the more complex features extracted from the image data. The FFNN developed for this experiment consists of 625 inputs, 50 hidden layer neurons, and 9 output neurons. The FFNN network is trained with 6 generated patterns and 3 specific extracted features to a TSSE of 0.005 (between 1000 and 2000 epochs). The ART2 implementation utilizes 625 F1 layer neurons for input, a  of 0.99993, and a learning rate of 1. This implementation was allowed 3 possibilities for category creation, one for an extracted feature of a person standing, one for an extracted feature of a person sitting, and one for an extracted feature umbrella. Results ART II vs. FFNNStanding People Sitting PeoplePeopleUmbrellasART II00181FFNN414 182 Both ART II and FFNN counted all of the people considered. Adaptive Resonance Theory 2 ART2 RESULTS Rho = (0.99993)number of patternsPeopleUmbrellasUnrecognized%CorrectMisclassifiedStanding7700100.0000%0.0000%Sitting111100100.0000%0.0000%Umbrellas311133.3333%33.3333% ART2 was forced to consider the possiblity of 3 categories Standing People, Sitting People, and Umbrellas, however with Rho set to 0.99993 Standing People and Sitting People were essentially classified as people. ART2 was 100% successful at recognizing the 18 people patterns. The second and third Umbrella inputs had people sitting under them and ART2 classified one as a person and did not recognize the other. If given the opportunity ART2 would have made the Unrecognized input a new category. These results are extremely promising because of the %Correct. FeedForward Neural Network using Backpropogation Algorithm FFNN RESULTSNumber of patternsStandingSittingUmbrellas%CorrectMisClassifiedStanding743057.1429%0.00%Sitting110110100.00%0.00%Umbrellas310266.6667%0.00% The FFNN was forced to create 3 pertinent categories Standing People, Sitting People, and Umbrellas so extensive training for each pattern type occured. The Standing People graph shows that even with this extensive training, Standing People were classified as Sitting People 42.9%. However, in the Sitting People graph 100% accuracy was obtained.The Umbrella graph is slightly confusing because the second and third Umbrella inputs had people sitting under them. It is promising how the FFNN classified those inputs, because one was put in Standing People and the other in Umbrellas. This shows that a distinction can be made between just an umbrella and an umbrella with people under it.    Conclusions: In this paper we presented a comparison of two neural network architechures as applied to the problem of person recognition in a digital image of a beach scene. This study was undertaken as a step towards resolving a larger problem that is, automating this process for each image in the larger set of total beach images. To that aim it has been successful but much work still remains before that larger goal is realized. Future Work: Many opportunities for the improvement and automation of the processes related here exist. Gaps in the process flow which currently require human intervention must be automated if this system is to be applicable for any but the smallest of datasets. While refinement of the current process is a sure goal, another goal is the exploration and implementation of different techniques for feature extraction, problem representation and classification. Transforms such as Fouriers and wavelet for transforming the data space pre-feature extraction have done well in similar studies. Several other classifiers have been implemented by the authors for this task, but many others, yet unexplored (such as support vector classification), show great promise as well. Appendix A: Training Patterns: Standing People  Sitting People  Umbrellas  Testing Patterns:                      References Duda, Richard O., Peter E. Hart, David G. Stork, Pattern Classification, 2nd Ed., John Wiley & Sons, Inc, New York 2001. p 1. G. A. Carpenter and S. Grossberg, ART 2: self-organization of stable category recognition codes of analog input patterns in Applied Optics, Boston, MA 1987. Rodrigues, Lawrence H., Building Imaging Applications with Java Technology, Pearson Education, IN 2001. 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