Learn More
Crowd estimation and monitoring is an important surveillance task. We address the problem of estimating the “flow,” that is the number of persons passing a designated region in a unit time. We designate an area of the scene as a virtual trip wire and accumulate the total number of foreground pixels (in the trip wire) over a chosen time period. We show that(More)
In this paper we present new methods for object tracking initialization using automated moving object detection based on background subtraction. The new methods are integrated into the real-time object tracking system we previously proposed. Our proposed new background model updating method and adaptive thresholding are used to produce a foreground object(More)
In this paper we present a new method for object tracking initialization using background subtraction. We propose an effective scheme for updating a background model adaptively in dynamic scenes. Unlike the traditional methods that use the same “learning rate” for the entire frame or sequence, our method assigns a learning rate for each pixel according to(More)
In this paper, we propose a simple method for foreground segmentation based on a “Gaussianity test” and a shading model. The proposed method works under a hierarchical framework that combines a block based and a pixel based processing. The first step is a block-level classification based on the intensity differences and intensity ratios of a(More)
Behavioral information can be inferred from the trajectory of a rigid object. We propose a method to detect anomalies in the approach of a vehicle by observing the patterns in its velocity and describe methods for more effective analysis of the velocity trajectory. First we define a hypothetical co-ordinate system in which the axes are specified with(More)
Zhu, Fengqing Ph.D., Purdue University, December 2011. Multilevel Image Segmentation with Application in Dietary Assessment and Evaluation. Major Professor: Edward J. Delp. This thesis describes methods for image analysis, including image calibration, image segmentation, features extraction and classification with emphasis on the segmentation of non-rigid(More)
Color is a powerful attribute that is used to characterize objects for tracking and other surveillance tasks. Since color is dependent on ambient illumination and the imaging equipment, the reliability of color features decreases as the object moves through regions observed with different cameras and with different illumination conditions. Typically, this(More)
Modern portfolio theory dates back to a seminal 1952 paper by H. Markowitz and has been very influential both in academic finance and among practitioners in the financial industry. Given a set of assets, the theory can be used to compute the amount to be invested in each asset in order to construct an optimally diversified portfolio. One of the parameters(More)
Lou, Ying Chen. Ph.D., Purdue University, December 2010. Video Frames Interpolation Using Adaptive Warping . Major Professors: Mark J.T. Smith and Edward Delp. In this dissertation, a strategy for high fidelity scaling of video frames to higher resolutions is introduced. The method employed is a combination of block matching-based motion estimation and(More)