diplomsko delo
Tadej Jagodnik (Avtor), Peter Peer (Mentor)

Povzetek

Detekcija potnikov v avtomobilu

Ključne besede

računalniški vid;detekcija obrazov;avtomobil;računalništvo;računalništvo in informatika;visokošolski strokovni študij;diplomske naloge;

Podatki

Jezik: Slovenski jezik
Leto izida:
Tipologija: 2.11 - Diplomsko delo
Organizacija: UL FRI - Fakulteta za računalništvo in informatiko
Založnik: [T. Jagodnik]
UDK: 004.9(043.2)
COBISS: 9361236 Povezava se bo odprla v novem oknu
Št. ogledov: 53
Št. prenosov: 1
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarni naslov: Detection of passengers in a car
Sekundarni povzetek: This thesis is focused on the research of the performance, suitability and reliability of some developed algorithms for face detection in the in-car environment. The vehicle interior is exposed to various illumination conditions which can complicate detection. Cramped space can also represent a problem, since it can cause occlusion. First we present three different approaches for face detection. To improve algorithm's performance and reduce the number of false detections, we suggest splitting frames or search window to two lines and five rectangles. We test algorithms on videos, recorded with wide-angle digital camera and annotate them by bounding boxes with implemented tool. System for evaluation is implemented to compare the algorithm's results with the results of ground truth annotation. Based on the evaluation system we perform various tests and with changing algorithm's parameters we try to determine their best performance.
Sekundarne ključne besede: computer vision;face detection;in-car environment;computer science;computer and information science;diploma;
Vrsta datoteke: application/pdf
Vrsta dela (COBISS): Diplomsko delo/naloga
Komentar na gradivo: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Strani: 61 str.
ID: 24142502