TY  - JOUR
AB  - Optic flow, i.e., retinal image movement resulting from ego-motion, is a crucial source of information used for obstacle avoidance and course control in flying insects. Optic flow analysis may prove promising for mobile robotics although it is currently not among the standard techniques. Insects have developed a computationally cheap analysis mechanism for image motion. Detailed computational models, the so-called elementary motion detectors (EMDs), describe motion detection in insects. However, the technical application of EMDs is complicated by the strong effect of local pattern contrast on their motion response. Here we present augmented versions of an EMD, the (s)cc-EMDs, which normalise their responses for contrast and there by reduce the sensitivity to contrast changes. Thus, velocity changes of moving natural images are reflected more reliably in the detect or response. The (s)cc-EMDs can easily be implemented in hardware and software and can be a valuable novel visual motion sensor for mobile robots.
DA  - 2011
DO  - 10.3390/s110303303
KW  - image motion
KW  - motion detection
KW  - image contrast
KW  - natural images
KW  - bioinspiration
LA  - eng
IS  - 12
M2  - 3303
PY  - 2011
SN  - 1424-8220
SP  - 3303-3326
T2  - Sensors
TI  - Contrast-Independent Biologically Inspired Motion Detection
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-20494357
Y2  - 2024-11-21T23:19:24
ER  -