Electronics letters, 2013-02, Vol.49 (4), p.258-260
2013
Details
- Autor(en) / Beteiligte
- Titel
- Histograms of local intensity differences for pedestrian classification in far‐infrared images
- Ist Teil von
- Electronics letters, 2013-02, Vol.49 (4), p.258-260
- Ort / Verlag
- Stevenage: The Institution of Engineering and Technology
- Erscheinungsjahr
- 2013
- Link zum Volltext
- Quelle
- Free E-Journal (出版社公開部分のみ）
- Beschreibungen/Notizen
- Presented is an intensity‐based feature extraction method for pedestrian classification in far‐infrared (FIR) images. The underlying idea of the method is that only intensity differences between neighbouring pixels can represent both the direction and the magnitude of the gradient, as FIR images are characterised by monotonic grey‐level changes. A new intensity‐based feature called the histogram of local intensity differences (HLID) is introduced which is a modified version of the well‐known histograms of oriented gradients (HOGs) feature. Experiments show that the HLID is more suited to FIR images than HOGs in terms of both accuracy and computational efficiency.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1350-911X, 0013-5194eISSN: 1350-911XDOI: 10.1049/el.2012.4261Titel-ID: cdi_crossref_primary_10_1049_el_2012_4261
- Format
- –
- Schlagworte
- Applied sciences, Artificial intelligence, Computer science, control theory, systems, Exact sciences and technology, far infrared images, feature extraction, FIR, gradient methods, histogram of local intensity differences, histograms of oriented gradients, HLID, HOG, image classification, infrared imaging, intensity based feature extraction method, local intensity differences, neighbouring pixels, Pattern recognition. Digital image processing. Computational geometry, pedestrian classification, pedestrians, traffic engineering computing