Monotonicity and error type differentiability in performance measures for target detection and tracking in video

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 35, Issue 10, 2013, Pages 2553-2560

  Leichter, Ido ^a   Krupka, Eyal ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

multiple targets; Performance evaluation; tracking

Indexed keywords

DIFFERENTIABILITY; FACE DETECTION AND TRACKING; FUNDAMENTAL PROPERTIES; MULTIPLE TARGETS; MULTIPLE-TARGET DETECTIONS; PERFORMANCE EVALUATION; PERFORMANCE MEASURE; TARGET DETECTION AND TRACKING;

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; SURFACE DISCHARGES;

TRACKING (POSITION);

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; FACE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; PHOTOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; VIDEORECORDING; ANATOMY AND HISTOLOGY; PROCEDURES;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; FACE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; VIDEO RECORDING;

EID: 84883166601     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2013.70     Document Type: Article

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