The invention relates to an early-warning detection method for emergencies in
smart city video monitoring. The method comprises the steps that an early-warning detection
system is established, and in order to ensure monitoring timeliness, a video is uploaded through double channels; a
client preprocesses a monitoring video
stream, and a local host only extracts foreground features in key frames through adoption of a background model and through
key frame extraction, background separation and foreground
feature extraction, the local host packages and compresses the foreground features and uploads the foreground features to a
cloud server; moreover, the video
stream is uploaded to the
cloud server through another channel, a classifier is established through frame interception,
object detection segmentation and object
feature extraction and through adoption of an SACBA adaptive association rule classification
algorithm, and through continuously increasing original video
data expansion and through updating of an abnormal feature
library, and the accuracy of detecting various emergencies is gradually improved; and the
cloud server compares the received packaged
feature data packet information with the abnormal feature
library, carries out pre-warning judgment and feeds back a result to the
client. According to the method, the early-warning monitoring timeliness and accuracy can be ensured.