• Publications
  • Influence
The Recognition of Human Movement Using Temporal Templates
TLDR
A view-based approach to the representation and recognition of human movement is presented, and a recognition method matching temporal templates against stored instances of views of known actions is developed. Expand
Graphcut textures: image and video synthesis using graph cuts
TLDR
A new algorithm for image and video texture synthesis where patch regions from a sample image or video are transformed and copied to the output and then stitched together along optimal seams to generate a new (and typically larger) output. Expand
Recognition of Visual Activities and Interactions by Stochastic Parsing
TLDR
A probabilistic syntactic approach to the detection and recognition of temporally extended activities and interactions between multiple agents and how the system correctly interprets activities of multiple interacting objects is demonstrated. Expand
Texture optimization for example-based synthesis
TLDR
A Markov Random Field-based similarity metric for measuring the quality of synthesized texture with respect to a given input sample is defined, which allows the synthesis problem as minimization of an energy function, which is optimized using an Expectation Maximization (EM)-like algorithm. Expand
Large Occlusion Stereo
  • A. Bobick, S. Intille
  • Mathematics, Computer Science
  • International Journal of Computer Vision
  • 3 September 1999
TLDR
This work significantly improves upon existing DP stereo matching methods by showing that while some cost must be assigned to unmatched pixels, sensitivity to occlusion-cost and algorithmic complexity can be significantly reduced when highly-reliable matches, or ground control points, are incorporated into the matching process. Expand
Parametric Hidden Markov Models for Gesture Recognition
TLDR
The approach is to extend the standard hidden Markov model method of gesture recognition by including a global parametric variation in the output probabilities of the HMM states by forming an expectation-maximization (EM) method for training the parametric HMM. Expand
The Representation and Recognition of Action Using Temporal Templates
TLDR
A new view-based approach to the representation and recognition of action is presented, using a temporal template | a static vector-image where the vector value at each point is a function of the motion properties at the corresponding spatial location in an image sequence. Expand
The representation and recognition of human movement using temporal templates
TLDR
A new view-based approach to the representation and recognition of action is presented, using a temporal template-a static vector-image where the vector value at each point is a function of the motion properties at the corresponding spatial location in an image sequence. Expand
Texture optimization for example-based synthesis
TLDR
A Markov Random Field-based similarity metric for measuring the quality of synthesized texture with respect to a given input sample is defined, which allows the synthesis problem as minimization of an energy function, which is optimized using an Expectation Maximization (EM)-like algorithm. Expand
Movement, activity and action: the role of knowledge in the perception of motion.
  • A. Bobick
  • Computer Science, Medicine
  • Philosophical transactions of the Royal Society…
  • 29 August 1997
This paper presents several approaches to the machine perception of motion and discusses the role and levels of knowledge in each. In particular, different techniques of motion understanding asExpand
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