PATENT CLAIM ANALYSIS

Application Number: 15985714
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-01
Patent Classification: ["348", "159000"]

Abstract:
A video surveillance method and a video surveillance system applied the method are provided. The method includes capturing an image of at least a part of a monitored area to obtain a plurality of video streams; sensing the monitored area to obtain a plurality of sensing data; if an image of an object of a video stream is determined as a target object, determining whether the target object triggers a target event according to one of the sensing data corresponding to the video stream; if the target object is determined as triggering the target event, outputting a feature value corresponding to the target object according to a preset analysis condition, the video stream including the target object and the target event; and generating a notification event corresponding to the target object according to the feature value and a model weight value corresponding to the target object.

Claim (Index 1):
A video surveillance system, for monitoring a monitored area, comprising:\n a video capture module, comprising a plurality of video capture devices, wherein the video capture devices are respectively disposed adjacent to the monitored area, and each of the video capture devices is configured to capture an image including at least a part of the monitored area to obtain a video stream; a sensing module, comprising a plurality of sensing devices, wherein the sensing devices are respectively disposed adjacent to the corresponding video capture devices, and each of the sensing devices senses the monitored area to obtain sensing data, wherein the plurality of sensing data respectively correspond to the video streams output by the video capture devices; and a decision system, coupled to the video capture module and the sensing module, and the decision system comprising:\n an image recognition module, receiving the video streams of the video capture devices and determining whether an image of an object fitting a target object exists in each of the video streams; \n an event determination module, coupled to the image recognition module and receiving the plurality of sensing data of the sensing devices, wherein if the image recognition module determines the image of the object in the video stream as the target object, the event determination module determines whether the target object in the video stream triggers a target event according to the sensing data corresponding to the video stream; \n an analysis model module, coupled to the image recognition module and the event determination module, comprising a plurality of analysis models respectively corresponding to the video capture devices, and each of the analysis models comprise a preset analysis condition, wherein if determining that the target object in the video stream triggers the target event, the event determination module transmits the video stream including the target object and the target event to the analysis model corresponding to the video capture device belonging to the video stream, \n wherein the analysis models respectively output a plurality of feature values corresponding to the target object according to the respective preset analysis conditions, the video stream including the target object received by each of the analysis models and the target event; and \n a processing module, coupled to the analysis model module, having a plurality of model weight values respectively corresponding to the analysis models, and configured to receive the feature values output by the analysis models and generate a notification event corresponding to the target object according to the feature values and the model weight values.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 93.0
- Lexical Diversity: 2.7193
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13843455', '12294761', '15369619', '14500108', '12380807']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6167728578521345
- 35 USC 102 Novelty (BERT): 0.4973691116404472
- Combined Prediction Score: 0.6048324832309658
- Mean Citation Score: 190.919168
- Max Citation Score: 199.40546
- Similarity Product: 122.62896378848794

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test