PATENT CLAIM ANALYSIS

Application Number: 16035942
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["348", "143000"]

Abstract:
A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

Claim (Index 21):
A method of video surveillance, comprising:\n receiving, by a computer system, a video comprising video images from a video sensor, the computer system performing the steps of: analyzing the video to detect stationary objects in the video; analyzing the video to detect people in the video; upon detecting a first stationary object in the video, defining a zone as a portion of the video around the first stationary object, defining the zone being responsive to a location of the first stationary object, the zone being defined to be larger than an outer boundary of the first stationary object and smaller than a field of view of the video, a size of the zone allowing detection of multiple non-overlapping objects; tracking a duration that the first stationary object remains stationary; and issuing an alert in response to determining that the duration of time the first stationary object has remained stationary exceeds a threshold while no person of interest detected in the video has been inside the zone.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 95.0
- Lexical Diversity: 1.51515
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14203065', '11300581', '14058423', '11828842', '11098385']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6255055924936982
- 35 USC 102 Novelty (BERT): 0.5511242283934601
- Combined Prediction Score: 0.6180674560836744
- Mean Citation Score: 311.163042
- Max Citation Score: 375.2817
- Similarity Product: 343.3870806794285

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

Dataset: test