Ramin mehran dissertation

Ramin mehran dissertation Janina May 24, Non-Local boundary condition steklov ; advantages planting trees; ramin bahrani rakhshan humble secularism. Sustainable urban mehran dissertation award for thesis: Applied this dissertation title hossein somi, universiti putra malaysia.

Toosi University of Technology M. The overarching goal is to devise a discriminative representation of human motion in social settings, that captures a wide variety of human activities observable in video sequences. Such motion emerges from the collective behavior of individuals and their interactions and is a significant source of information typically employed for applications such as event detection, behavior recognition, and activity recognition.

We present new representations of human group motion for static cameras, and propose algorithms for their application to variety of problems.

We first propose a novel method to model and learn the scene activity of a crowd using Social Force Model for the first time in the computer vision community. We present a method to densely estimate the interaction forces between people in a crowd, observed by a static camera.

The patterns of activities of the objects in the scene are modeled in the form of volumes of interaction forces. Latent Dirichlet Allocation LDA is used to learn the model of the normal activities over extended periods of time. Randomly selected spatio-temporal volumes of interaction forces are used to learn the model of normal behavior of the scene.

The model encodes the latent topics of social interaction forces in the scene for normal behaviors. We classify a short video sequence of n frames as normal or abnormal by using the learnt model. Once a sequence of frames is classified iii 4 as an abnormal, the regions of anomalies in the abnormal frames are localized using the magnitude of interaction forces.

The representation and estimation framework proposed above, however, has a few limitations. This algorithm proposes to use a global estimation of the interaction forces within the crowd. It, therefore, is incapable of identifying different groups of objects based on motion or behavior in the scene.

In addition, the algorithm proposes a model to learn the normal behavior and detects the abnormality by merely discovering a change in behaviors. However, the learned model is not capturing the dynamics of different behaviors. To overcome these limitations, we then propose a method based on the Lagrangian framework for fluid dynamics, by introducing a streakline representation of flow.

Streaklines are traced in a fluid flow by injecting color material, such as smoke or dye, which is transported with the flow and used for visualization. In the context of computer vision, streaklines may be used in a similar way to transport information about a scene, and they are obtained by repeatedly initializing a fixed grid of particles at each frame, then moving both current and past particles using optical flow.

Juvenile delinquency case studies - Quality Paper Writing Help that Works

Streaklines are the locus of points that connect particles which originated from the same initial position. This approach is advantageous over the previous representations in two aspects: Finally, we introduce flow potentials as a discriminative feature to recognize crowd behaviors in a scene.

Sep 11,  · To view links or images in signatures your post count must be 10 or greater. You currently have 0 posts. Analysis of Behaviors in Crowd Videos. Ramin Mehran, B S K N Toosi; ; View PDF; Cite; Save; Abstract. In this dissertation, we address the problem of discovery and representation of group activity of humans and objects in a variety of scenarios, commonly encountered in vision applications. Treato does not review third-party posts for accuracy of any kind, including for medical diagnosis or treatments, or events in general. Treato does not provide medical advice, diagnosis or treatment. Usage of the website does not substitute professional medical advice.

Results of extensive experiments are presented for multiple real life crowd sequences involving pedestrian and vehicular traffic. The proposed method exploits optical flow as the low level feature and performs integration and clustering to obtain coherent group motion patterns.

Analysis of Behaviors in Crowd Videos. Ramin Mehran, B S K N Toosi; ; View PDF; Cite; Save; Abstract. In this dissertation, we address the problem of discovery and representation of group activity of humans and objects in a variety of scenarios, commonly encountered in vision applications. This Doctoral Dissertation (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations by . The full text of this journal can be found ramin mehran thesis in the EBSCOhostRamin mehran dissertation – Custom Dissertations for Ramin mehran dissertation – Let the professionals do your essays for you. Allow us to help with your Bachelor thesis.

However, we observe that in crowd video sequences, as well as a variety of other vision applications, the co-occurrence and inter-relation of motion patterns are the main characteristics of group behaviors. In other words, the group behavior of objects is a mixture of individual actions or behaviors in specific geometrical layout and temporal order.

We, therefore, propose a new representation for group behaviors of humans using the interrelation of motion patterns in a scene. The representation is based on bag of visual phrases of spatio-temporal visual words.

Home - Warsurge

We present a method to match the high-order spatial layout of visual words that preserve the geometry of the visual words under similarity transformations. To perform the experiments we collected a dataset of group choreography performances from the YouTube website.

The dataset currently contains four categories of group dances. To my lovely parents, To my dear brother. Shah for his guidance and support. I am also grateful to Dr. Marshall Tappen, and Dr. Aman Behal for serving on my committee. Streaklines Representation of Flow Introduction Streaklines vs.

Note that the interaction force is computed accordingly for pedestrians who are approaching each other red box. Green denotes the normal and red denotes the abnormal frame The summary of the proposed approach for abnormal behavior detection in the crowd videos An example of particle advection using the average optical flow field and the corresponding interaction forces.The ECE's vision is to offer the best undergraduate education in electrical and computer engineering, to achieve national and international prominence in selected areas of graduate study and research, and to foster partnerships and contribute to technological and economical advances in the State of Florida, the nation, and the world.

Ramin Mehrabian of BIOENERGY + GmbH, Graz (BIOENERGY +). Read 18 publications, and contact Ramin Mehrabian on ResearchGate, the professional network for scientists.

The full text of this journal can be found ramin mehran thesis in the EBSCOhostRamin mehran dissertation – Custom Dissertations for Ramin mehran dissertation – Let the professionals do your essays for you. Allow us to help with your Bachelor thesis. The ECE's vision is to offer the best undergraduate education in electrical and computer engineering, to achieve national and international prominence in selected areas of graduate study and research, and to foster partnerships and contribute to technological and economical advances in the State of Florida, the nation, and the world.

In this dissertation, we address the problem of discovery and representation of group activity of humans and objects in a variety of scenarios, commonly encountered in vision applications. The overarching goal is to devise a discriminative representation of human motion in social settings, that captures a wide variety of human activities observable in video sequences.

Sep 11,  · To view links or images in signatures your post count must be 10 or greater. You currently have 0 posts.