Dempster-Shafer fusion of context sources for pedestrian recognition

Advances in Intelligent and Soft Computing

Volumn 164 AISC, Issue , 2012, Pages 319-326

  Szczot, Magdalena ^a   Löhlein, Otto ^b   Palm, Günther ^a  

^a UNIVERSITY OF ULM   (Germany)

^b DAIMLER AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMOTIVE APPLICATIONS; CLASSIFICATION RESULTS; CLASSIFICATION TASKS; CONTEXTUAL KNOWLEDGE; DEMPSTER-SHAFER FUSION; DEMPSTER-SHAFER THEORY; IMAGE CUTOUT; IMAGE-BASED; LOCAL CLASSIFIER; MASS FUNCTIONS; OPTIMAL RESULTS; PEDESTRIAN RECOGNITION;

SOFT COMPUTING; SOFTWARE ENGINEERING;

UNCERTAINTY ANALYSIS;

EID: 84861011933     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-29461-7_37     Document Type: Conference Paper

References (6)

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3. Smets, P.: The combination of evidence in the transferable belief model. IEEE Transactions on Pattern Analysis and Machine Intelligence 12(5), 447-458 (1990)
4. Szczot, M., Dannenmann, I., Lohlein, O.: Incorporating lane estimation as context source in pedestrian recognition task. In: ICPR (2010)
5. Szczot, M., Löhlein, O., Palm, G.: Incorporating contextual information in pedestrian recognition. In: The IEEE Intelligent Vehicles Symposium, IV (2009)
6. Viola, P., Jones, M.: Robust real-time object detection. In: Proceedings of IEEE Workshop on Statistical and Computational Theories of Vision (2001)