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AMDO
2006
Springer
14 years 10 days ago
Action Recognition Using Motion Primitives and Probabilistic Edit Distance
In this paper we describe a recognition approach based on the notion of primitives. As opposed to recognizing actions based on temporal trajectories or temporal volumes, primitive-...
Preben Fihl, Michael B. Holte, Thomas B. Moeslund,...
CONNECTION
2006
172views more  CONNECTION 2006»
13 years 8 months ago
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
Christo Panchev, Stefan Wermter
SBRN
1998
IEEE
14 years 25 days ago
Competitive and Temporal Hebbian Learning for Production of Robot Trajectories
This paper proposes an unsupervised neural algorithm for trajectory production of a 6-DOF robotic arm. The model encodes these trajectories in a single training iteration by using...
Guilherme De A. Barreto, Aluizio F. R. Araú...
CVPR
2012
IEEE
11 years 11 months ago
City scale geo-spatial trajectory estimation of a moving camera
This paper presents a novel method for estimating the geospatial trajectory of a moving camera with unknown intrinsic parameters, in a city-scale urban environment. The proposed m...
Gonzalo Vaca-Castano, Amir Roshan Zamir, Mubarak S...
TIP
2010
119views more  TIP 2010»
13 years 3 months ago
Trajectory Classification Using Switched Dynamical Hidden Markov Models
This paper proposes an approach for recognizing human activities (more specifically, pedestrian trajectories) in video sequences, in a surveillance context. A system for automatic ...
Jacinto C. Nascimento, Mário A. T. Figueire...