Human motion analysis via axis based representations

Download

index.pdf

Date

2007

Author

Erdem, Sezen

Metadata

Show full item record

Item Usage Stats

223
views

88
downloads

Visual analysis of human motion is one of the active research areas in computer vision. The trend shifts from computing motion fields to understanding actions. In this thesis, an action coding scheme based on trajectories of the features calculated with respect to a part based coordinate system is presented. The part based coordinate system is formed using an axis based representation. The features are extracted from images segmented in the form of silhouettes. We present some preliminary experiments that demonstrate the potential of the method in action similarity analysis.

Subject Keywords

Electronic Computers., Computer Science.

URI

http://etd.lib.metu.edu.tr/upload/12608815/index.pdf
https://hdl.handle.net/11511/17126

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Face detection in active robot vision Önder, Murat; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2004) The main task in this thesis is to design a robot vision system with face detection and tracking capability. Hence there are two main works in the thesis: Firstly, the detection of the face on an image that is taken from the camera on the robot must be achieved. Hence this is a serious real time image processing task and time constraints are very important because of this reason. A processing rate of 1 frame/second is tried to be achieved and hence a fast face detection algorithm had to be used. The Eigenfa...
A new approach for better load balancing of visibility detection and target acquisition calculations Filiz, Anıl Yiğit; Can, Tolga; Department of Computer Engineering (2010) Calculating visual perception of entities in simulations requires complex intersection tests between the line of sight and the virtual world. In this study, we focus on outdoor environments which consist of a terrain and various objects located on terrain. Using hardware capabilities of graphics cards, such as occlusion queries, provides a fast method for implementing these tests. In this thesis, we introduce an approach for better load balancing of visibility detection and target acquisition calculations b...
Efficient detection and tracking of salient regions for visual processing on mobile platforms Serhat, Gülhan; Saranlı, Afşar; Department of Electrical and Electronics Engineering (2009) Visual Attention is an interesting concept that constantly widens its application areas in the field of image processing and computer vision. The main idea of visual attention is to find the locations on the image that are visually attractive. In this thesis, the visually attractive regions are extracted and tracked in video sequences coming from the vision systems of mobile platforms. First, the salient regions are extracted in each frame and a feature vector is constructed for each one. Then Scale Invaria...
Articulated motion analysis via axis-based representation Erdem, Sezen; Tarı, Zehra Sibel (2007-01-01) Human motion analysis is one of the active research areas in computer vision. The trend shifts from computing motion fields to determining actions. We present an action coding scheme based on a trajectory of features defined with respect to a part based coordinate system. The method does not require prior human model or special motion capture hardware. The features are extracted from images segmented in the form of silhouettes. The feature extraction step ignores 3D effects such as self occlusions or motion...
Robot planing based on learned affordances Çakmak, Maya; Şahin, Erol; Department of Computer Engineering (2007) This thesis studies how an autonomous robot can learn affordances from its interactions with the environment and use these affordances in planning. It is based on a new formalization of the concept which proposes that affordances are relations that pertain to the interactions of an agent with its environment. The robot interacts with environments containing different objects by executing its atomic actions and learns the different effects it can create, as well as the invariants of the environments that aff...

Citation Formats

S. Erdem, “Human motion analysis via axis based representations,” M.S. - Master of Science, Middle East Technical University, 2007.