Document
Visual Information Processing in Wireless Sensor Networks: Technology, Trends and Applications
Low level representation of data for visual sensor network
Wireless Sensor Network future direction is going towards more complex sensor such as camera sensor. Therefore, a very active research field is Visual Sensor Network. This type of network brings new challenges such as processing and transmitting a massive amount of data generated by the camera sensor. The efforts into decreasing the amount of data to be transmitted are going towards two directions: data encoding and data filtering. This chapter introduces an algorithm for each direction. Visual data encoding is performed by means of Predictive Video Encoding using Phase-Only Correlation function to achieve motion estimation. Visual data filtering is done at the lowest level of abstraction and is performed in three phases: pixel classification, background update and detection. The algorithms involved in each phase are light in terms of complexity and memory resources. © 2012, IGI Global.
Generically Dependent Continuant
Book Section
Document Part
RDF description of Low level representation of data for visual sensor network - http://orbis.uaslp.mx/vivo/individual/scopus7220
Information Content Entity
Chapter