rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Camera networks
    sub title: the acquisition and analysis of videos over wide areas
  title info:
    title: Synthesis digital library of engineering and computer science
  name:
    name part: Roy-Chowdhury, Amit K.
    role:
      role term: creator
  name:
    name part: Song, Bi
    name part: Ph. D
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: cau
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xiii, 119 pages) : illustrations
  abstract: As networks of video cameras are installed in many applications like security and surveillance, environmental monitoring, disaster response, and assisted living facilities, among others, image understanding in camera networks is becoming an important area of research and technology development. There are many challenges that need to be addressed in the process.
  table of contents: 1. An introduction to camera networks -- 1.1 Research directions -- 1.1.1 Camera network topology -- 1.1.2 Wide area tracking -- 1.1.3 Distributed processing -- 1.1.4 Camera network control (active vision) -- 1.1.5 Mobile camera networks -- 1.1.6 Simulation in camera networks -- 1.1.7 Experimental testbeds -- 1.1.8 Application domains -- 1.2 Organization of the book --
  table of contents: 2. Wide-area tracking -- 2.1 Review of multi-target tracking approaches -- 2.1.1 Kalman filter-based tracker -- 2.1.2 Particle filter-based tracker -- 2.1.3 Multi-hypothesis tracking (MHT) -- 2.1.4 Joint probabilistic data association filters (JPDAF) -- 2.2 Tracking in a camera network - problem formulation -- 2.3 A review on camera network tracking -- 2.4 On-line learning using affinity models -- 2.5 Tracklet association using stochastic search -- 2.6 Person reidentification -- 2.7 Learning a camera network topology -- 2.8 Consistent labeling with overlapping fields of view -- 2.9 Conclusions --
  table of contents: 3. Distributed processing in camera networks -- 3.1 Consensus algorithms for distributed estimation -- 3.2 Decentralized and distributed tracking -- 3.2.1 Decentralized tracking -- 3.2.2 Distributed tracking -- 3.3 Consensus algorithms for distributed tracking -- 3.3.1 Mathematical framework -- 3.3.2 Extended kalman-consensus filter for a single target -- 3.3.3 JPDA-EKCF for tracking multiple targets -- 3.3.4 Handoff in consensus tracking algorithms -- 3.3.5 Example of distributed tracking using EKCF -- 3.3.6 Sparse networks and naive nodes - the generalized Kalman Consensus filter -- 3.4 Camera network calibration -- 3.4.1 Distributed data association -- 3.4.2 Distributed calibration -- 3.4.3 Distributed pose estimation -- 3.5 Conclusions --
  table of contents: 4. Object and activity recognition -- 4.1 Object recognition -- 4.1.1 Object recognition under resource constraints -- 4.2 Time-delayed correlation analysis -- 4.2.1 Scene decomposition and activity representation -- 4.2.2 Cross canonical correlation analysis -- 4.2.3 Applications -- 4.3 Activity analysis using topic models -- 4.3.1 Probabilistic model -- 4.3.2 Labeling trajectories into activities -- 4.4 Distributed activity recognition -- 4.4.1 Consensus for activity recognition -- 4.5 Conclusions --
  table of contents: 5. Active sensing -- 5.1 Problem formulation -- 5.1.1 Active sensing of dynamical processes -- 5.2 Review of existing approaches -- 5.3 Collaborative sensing in distributed camera networks -- 5.3.1 System modeling -- 5.3.2 Distributed optimization framework -- 5.3.3 Choice of utility functions -- 5.3.4 Negotiation mechanisms -- 5.3.5 Example scenarios -- 5.3.6 Results in example scenarios -- 5.4 Opportunistic sensing -- 5.4.1 Global utility -- 5.4.2 Experiments -- 5.5 Conclusions --
  table of contents: 6. Future research directions -- Authors' biographies.
  target audience: specialized
  note: Amit K. Roy-Chowdhury and Bi Song.
  note: Part of: Synthesis digital library of engineering and computer science.
  note: Electronic resource.
  note: Includes bibliographical references (pages 105-118).
  subject:
    topic: Video surveillance
    topic: Computer networks
  subject:
    topic: Video recording
    topic: Computer networks
  subject:
    topic: TECHNOLOGY & ENGINEERING / Electrical
  subject:
    topic: wide area tracking
  subject:
    topic: distributed video analysis
  subject:
    topic: Kalman consensus
  subject:
    topic: distributed tracking
  subject:
    topic: recognition
  subject:
    topic: active sensing
  subject:
    topic: opportunistic sensing
  classification: TK6680.3 .R693 2012
  classification: 621.38928
  related item:
    title info:
      title: Video analysis in camera networks
    name:
      name part: Roy-Chowdhury, Amit K.
    origin info:
      publisher: San Rafael : Morgan & Claypool, 2012
    identifier: (OCoLC)759910018
  related item:
    title info:
      title: Synthesis lectures on computer vision ; #4
  identifier: 9781608456758 (electronic bk.)
  identifier: 1608456757 (electronic bk.)
  identifier: 9781608456741 (pbk.)
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: CaBNvSL
    record creation date: 120216
    record change date: 20190404202437.0
    record identifier: in00003338049